Research Institute
-
2022-2024
Waseda Research Institute for Science and Engineering Concurrent Researcher
Details of a Researcher
Updated on 2023/02/01
Waseda Research Institute for Science and Engineering Concurrent Researcher
Kyushu Institute of Technology Graduate School, Division of Information Engineering Information Science
Sun Yat-Sen University Electrical & Electronic Systems Engineering Electronics Engineering
Sun Yat-Sen University Graduate School, Division of Information Engineering Electronics Engineering
Kyushu Institute of Technology PhD
Waseda University Graduate School of Information Production and Systems
Waseda University Graduate School of Information Production and Systems
Waseda University Graduate School of Information Production and Systems
Kyushu University Faculty of Information Science and Electrical Engineering
九州大学ベンチャー・ビジネス・ラボラトリー 非常勤研究員
九州大学ベンチャー・ビジネス・ラボラトリー 非常勤研究員
中国中山大学電子工学科 講師
中国中山大学電子工学科 助教
現在に至る
電子情報通信学会
電気学会
計測自動制御学会
IEEE
Soft computing
Life, health and medical informatics
Control and system engineering
Control and system engineering
Neural Networks, Genetic Algorithms, System Identification and Control, Complex Systems, Bioinformatics, Combinatorial optimization
Learning a Latent Space with Triplet Network for Few-Shot Image Classification
Jiaying Wu, Jinglu Hu
2022 26th International Conference on Pattern Recognition (ICPR) 5038 - 5044 2022.08 [Refereed]
Improving Sequential Recommendation via Subsequence Extraction
Hangyu Deng, Jinglu Hu
2022 International Joint Conference on Neural Networks (IJCNN) 2022.07 [Refereed]
An Improved Hybrid Model for Nonlinear Regression with Missing Values Using Deep Quasi‐Linear Kernel
Huilin Zhu, Jinglu Hu
IEEJ Transactions on Electrical and Electronic Engineering 17 ( 10 ) 1460 - 1468 2022.06 [Refereed]
Authorship:Corresponding author
Redefining prior feature space via finetuning a triplet network for few‐shot learning
Jiaying Wu, Jinglu Hu
IET Computer Vision 16 ( 6 ) 514 - 524 2022.05 [Refereed]
Authorship:Corresponding author
Hangyu Deng, Xin Yuan, Yanling Tian, Jinglu Hu
IEEJ Transactions on Electrical and Electronic Engineering 17 ( 5 ) 685 - 694 2022.05 [Refereed]
Authorship:Corresponding author
Generating High Coherence Monophonic Music Using Monte-Carlo Tree Search
Xiao Fu, Hangyu Deng, Xin Yuan, Jinglu Hu
IEEE Transactions on Multimedia 1 - 10 2022.04 [Refereed]
Authorship:Corresponding author
A Semi‐supervised Classification Method of Parasites Using Contrastive Learning
Yanni Ren, Hao Jiang, Huilin Zhu, Yanling Tian, Jinglu Hu
IEEJ Transactions on Electrical and Electronic Engineering 17 ( 3 ) 445 - 453 2022.03 [Refereed]
Authorship:Last author
Constructing a PPI Network Based on Deep Transfer Learning for Protein Complex Detection
Xin Yuan, Hangyu Deng, Jinglu Hu
IEEJ Transactions on Electrical and Electronic Engineering 17 ( 3 ) 436 - 444 2022.03 [Refereed]
Authorship:Corresponding author
Relation‐Level User Behavior Modeling for Click‐Through Rate Prediction
Hangyu Deng, Yanling Tian, Jia Luo, Jinglu Hu
IEEJ Transactions on Electrical and Electronic Engineering 17 ( 3 ) 398 - 406 2022.03 [Refereed]
Authorship:Corresponding author
Huilin Zhu, Yanni Ren, Yanling Tian, Jinglu Hu
IEEJ Transactions on Electrical and Electronic Engineering 16 ( 12 ) 1618 - 1627 2021.12 [Refereed]
Authorship:Corresponding author
Deep Transfer Learning Based PPI Prediction for Protein Complex Detection
Xin Yuan, Hangyu Deng, Jinglu Hu
2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC) 321 - 326 2021.10 [Refereed]
Huilin Zhu, Yanni Ren, Jinglu Hu
2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC) 1705 - 1710 2021.10 [Refereed]
Yanni Ren, Hangyu Deng, Hao Jiang, Huilin Zhu, Jinglu Hu
2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2973 - 2978 2021.10 [Refereed]
SGE NET: Video Object Detection with Squeezed GRU and Information Entropy Map
Rui Su, Wenjing Huang, Haoyu Ma, Xiaowei Song, Jinglu Hu
2021 IEEE International Conference on Image Processing (ICIP) 2021.09 [Refereed]
Combating the Infodemic: A Chinese Infodemic Dataset for Misinformation Identification
Jia Luo, Rui Xue, Jinglu Hu, Didier El Baz
Healthcare 9 ( 9 ) 1094 - 1094 2021.08 [Refereed]
Attentive Relation Network for Object based Video Games
Hangyu Deng, Jia Luo, Jinglu Hu
2021 International Joint Conference on Neural Networks (IJCNN) 2021.07 [Refereed]
SAN: Sampling Adversarial Networks for Zero-Shot Learning
Chenwei Tang, Yangzhu Kuang, Jiancheng Lv, Jinglu Hu
Neural Information Processing 626 - 638 2020.11 [Refereed]
COVID-19 infodemic on Chinese social media: A 4P framework, selective review and research directions
Jia Luo, Rui Xue, Jinglu Hu
Measurement and Control 53 ( 9-10 ) 2070 - 2079 2020.11 [Refereed]
Authorship:Last author
Improving Image Captioning Evaluation by Considering Inter References Variance
Y. Yi, H. Deng, J. Hu
Proc. of the 58th Annual Meeting of the Association for Computational Linguistics (ACL'2020) 985 - 994 2020.07 [Refereed]
Hierarchical Multi-label Classification for Gene Ontology Annotation using Multi-head and Multi-end Deep CNN Model
X. Yuan, E. Pang, K. Lin, J. Hu
IEEJ Trans. on Electrical and Electronic Engineering 15 ( 7 ) 1057 - 1064 2020.07 [Refereed]
Authorship:Corresponding author
Relation Classification using Coarse And Fine-Grained Networks with SDP Supervised Key Words Selection
Y.P. Sun, Y. Cui, J. Hu, W.J. Jia
Proc. of the 11th Inter. Conference on Knowledge Science, Engineering and Management (KSEM'2018) (Changchun) 514 - 521 2018.08 [Refereed]
Stacked Residual Recurrent Neural Network with Word Weight for Text Classification
W. Cao, A. Song, J. Hu
IAENG International Journal of Computer Science 44 ( 3 ) 277 - 284 2017.09 [Refereed]
Distance Metric Learning with Eigenvalue Fine Tuning
W. Wang, Y. Zhang, J. Hu
Proc. of 2017 IEEE International Joint Conference on Neural Networks (IJCNN'2017) (Anchorage) 502 - 509 2017.05 [Refereed]
Large-Scale Image Classification Using Fast SVM with Deep Quasi-Linear Kernel
P. Liang, W. Li, D. Liu, J. Hu
Proc. of 2017 IEEE International Joint Conference on Neural Networks (IJCNN'2017) (Anchorage) 1064 - 1071 2017.05 [Refereed]
A Mixture of Multiple Linear Classifiers with Sample Weight and Manifold Regularization
W. Li, B. Chen, B. Zhou, J. Hu
Proc. of 2017 IEEE International Joint Conference on Neural Networks (IJCNN'2017) (Anchorage) 3747 - 3752 2017.05 [Refereed]
Non-Local Information for a Mixture of Multiple Linear Classifiers
Li, P. Liang, X. Yuan, J. Hu
Proc. of 2017 IEEE International Joint Conference on Neural Networks (IJCNN'2017) (Anchorage) 3741 - 3746 2017.05 [Refereed]
A Multilayer Gated Bilinear Classifier: from Optimizing a Deep Rectified Network to a Support Vection Machine
W. Li, J. Hu
Proc. of 2017 IEEE International Joint Conference on Neural Networks (IJCNN'2017) (Anchorage) 140 - 146 2017.05 [Refereed]
A Self-Organizing Quasi-Linear ARX RBFN Model for Nonlinear Dynamical Systems Identification
I. Sutrisno, M.A. Jami'in, J. Hu, M.H. Marhaban
SICE Journal of Control, Measurement, and System Integration 9 ( 2 ) 70 - 77 2016.03 [Refereed]
Enhancing Multi-label Classification Based on Local Label Constraints and Classifier Chains
Benhui Chen, Weite Li, Yuqing Zhang, Jinglu Hu
2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) 1458 - 1463 2016 [Refereed]
A Novel Registration Method based on Coevolutionary Strategy
Jun Zhang, Jinglu Hu
2016 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) 2375 - 2380 2016 [Refereed]
A Lyapunov Based Switching Control to Track Maximum Power Point of WECS
Mohammad Abu Jami'in, Jinglu Hu, Eko Julianto
2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) 3883 - 3888 2016 [Refereed]
A Kernel Level Composition of Multiple Local Classifiers for Nonlinear Classification
Weite Li, Bo Zhou, Jinglu Hu
2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) 3845 - 3850 2016 [Refereed]
A Deep Quasi-Linear Kernel Composition Method for Support Vector Machines
Weite Li, Jinglu Hu, Benhui Chen
2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) 1639 - 1645 2016 [Refereed]
The State-Dynamic-Error-Based Switching Control under Quasi-ARX Neural Network Model
M.A. Jamiin, I. Sutrisnno, J. Hu
Proc. 20th International Symposium on Artificial Life and Robotics (AROB 20th'2015) (Bepu) 787 - 792 2015.01 [Refereed]
A Hierarchical SVM Based Multiclass Classification by Using Similarity Clustering
Chao Dong, Bo Zhou, Jinglu Hu
2015 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) 2015 [Refereed]
Improving SVM Based Multi-label Classification by Using Label Relationship
Di Fu, Bo Zhou, Jinglu Hu
2015 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) 2015 [Refereed]
Geometric Approach of Quasi-Linear Kernel Composition for Support Vector Machine
Weite Li, Jinglu Hu
2015 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) 2015 [Refereed]
A Transductive SVM with Quasi-linear Kernel Based on Cluster Assumption for Semi-Supervised Classification
Bo Zhou, Di Fu, Chao Dong, Jinglu Hu
2015 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) 2015 [Refereed]
An Improved Adaptive Switching Control Based on Quasi-ARX Neural Network for Nonlinear Systems
I. Sutrisno, C. Che, J. Hu
Artificial Life and Robotics 19 ( 4 ) 347 - 353 2014.10 [Refereed]
Nonlinear Adaptive Control for Wind Energy Conversion Systems Based on Quasi-ARX Neural Network Model
M.A. Jami'in, I. Sutrisno, J. Hu
Proc. of the International MultiConference of Engineers and Computer Scientists (IMECS'2014) (Hongkong) I 313 - 318 2014.03 [Refereed]
Quasi-ARX NN Based Adaptive Control Using Improved Fuzzy Switching Mechanism for Nonlinear Systems
I. Sutrisnno, C. Che, J. Hu
Proc. 19th International Symposium on Artificial Life and Robotics (AROB 19th'2014) (Bepu) 697 - 702 2014.01 [Refereed]
A Niching Two-Layered Differential Evolution with Self-adaptive Control Parameters
Yongxin Luo, Sheng Huang, Jinglu Hu
2014 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) 1405 - 1412 2014 [Refereed]
Fast Support Vector Data Description Training Using Edge Detection on Large Datasets
Chenlong Hu, Bo Zhou, Jinglu Hu
PROCEEDINGS OF THE 2014 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) 2176 - 2182 2014 [Refereed]
A Half-Split Grid Clustering Algorithm by Simulating Cell Division
Wenxiang Dou, Jinglu Hu
PROCEEDINGS OF THE 2014 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) 2183 - 2189 2014 [Refereed]
A Transductive Support Vector Machine with Adjustable Quasi-Linear Kernel for Semi-Supervised Data Classification
Bo Zhou, Chenlong Hu, Benhui Chen, Jinglu Hu
PROCEEDINGS OF THE 2014 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) 1409 - 1415 2014 [Refereed]
Support Vector Machine with SOM-based Quasi-linear Kernel for Nonlinear Classification
Yuling Lin, Yong Fu, Jinglu Hu
PROCEEDINGS OF THE 2014 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) 3783 - 3789 2014 [Refereed]
A Fast Sequence Assembly Method Based on Compressed Data Structures
Peifeng Liang, Yancong Zhang, Kui Lin, Jinglu Hu
2014 36TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) 326 - 329 2014 [Refereed]
An Adaptive Predictive Control based on a Quasi-ARX Neural Network Model
Mohammad Abu Jami'in, Imam Sutrisno, Jinglu Hu, Norman Bin Mariun, Mohd Hamiruce Marhaban
2014 13TH INTERNATIONAL CONFERENCE ON CONTROL AUTOMATION ROBOTICS & VISION (ICARCV) 253 - 258 2014 [Refereed]
A Modified Pulse Coupled Neural Network with Anisotropic Synaptic Weight Matrix for Image Edge Detection
Zhan Shi, Jinglu Hu
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES E96A ( 6 ) 1460 - 1467 2013.06 [Refereed]
Development of Stock Evaluation System Based on Quasi-Linear Regression Model
Y. Lin, W. Shih, J. Hu
International Journal of Electronic Business Management 11 ( 1 ) 23 - 32 2013.03 [Refereed]
Deep Searching for Parameter Estimation of the Linear Time Invariant (LTI) System by Using Quasi-ARX Neural Network
Mohammad Abu Jami'in, Imam Sutrisno, Jinglu Hu
2013 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) 2758 - 2762 2013 [Refereed]
Improving Multi-label Classification Performance by Label Constraints
Benhui Chen, Xuefen Hong, Lihua Duan, Jinglu Hu
2013 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) 1103 - 1107 2013 [Refereed]
Implementation of Lyapunov Learning Algorithm for Fuzzy Switching Adaptive Controller Modeled Under Quasi-ARX Neural Network
Imam Sutrisno, Mohammad Abu Jami'in, Jinglu Hu
PROCEEDINGS OF 2013 2ND INTERNATIONAL CONFERENCE ON MEASUREMENT, INFORMATION AND CONTROL (ICMIC 2013), VOLS 1 & 2 762 - 766 2013 [Refereed]
Application DANP with MCDM model to explore smartphone software
Chiu-Hung Su, Takayuki Furuzuki, Hao-Lin Tseng, Gwo-Hshiung Tzeng
6TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS, AND THE 13TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS 1734 - 1739 2012 [Refereed]
Nonlinear System Identification Based on SVR with Quasi-linear Kernel
Yu Cheng, Jinglu Hu
2012 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) 2368 - 2375 2012 [Refereed]
Composite Kernel Based SVM for Hierarchical Multi-label Gene Function Classification
Benhui Chen, Lihua Duan, Jinglu Hu
2012 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) 1380 - 1385 2012 [Refereed]
Local Linear Discriminant Analysis with Composite Kernel for Face Recognition
Zhan Shi, Jinglu Hu
2012 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) 166 - 170 2012 [Refereed]
Neural Predictive Controller of Nonlinear Systems Based on Quasi-ARX Neural Network
Imam Sutrisno, Mohammad Abu Jami'in, Jinglu Hu
PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON AUTOMATION AND COMPUTING (ICAC 12) 78 - 83 2012 [Refereed]
Lyapunov Learning Algorithm for Quasi-ARX Neural Network to Identification of Nonlinear Dynamical System
Mohammad Abu Jami'in, Imam Sutrisno, Jinglu Hu
PROCEEDINGS 2012 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) 3147 - 3152 2012 [Refereed]
Quasi-ARX Wavelet Network for SVR Based Nonlinear System Identification
Y. Cheng, L. Wang, J. Hu
Nonlinear Theory and its Applications (NOLTA), IEICE 2 ( 2 ) 165 - 179 2011.04 [Refereed]
An Efficient Identification Scheme for Nonlinear Polynomial NARX Model
Yu Cheng, Miao Yu, Lan Wang, Jinglu Hu
PROCEEDINGS OF THE SIXTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 16TH '11) 499 - 502 2011 [Refereed]
Niching EDA Based on Fitness Sharing for Off-lattice Protein Folding Model
Benhui Chen, Jinglu Hu, Lihua Duan
2011 INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND NEURAL COMPUTING (FSNC 2011), VOL I 128 - 131 2011 [Refereed]
An Efficient Identification Scheme for Nonlinear Polynomial NARX Model
Yu Cheng, Miao Yu, Lan Wang, Jinglu Hu
PROCEEDINGS OF THE SIXTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 16TH '11) 16 ( 1 ) 499 - 502 2011 [Refereed]
Multivariable Self-Tuning Control for Nonlinear MIMO System Using Quasi-ARX RBFN Model
Wang Lan, Cheng Yu, Hu Jinglu
2011 30TH CHINESE CONTROL CONFERENCE (CCC) 3772 - 3776 2011 [Refereed]
Identification of Quasi-ARX Neurofuzzy Model by Using SVR-based Approach with Input Selection
Yu Cheng, Lan Wang, Jing Zeng, Jinglu Hu
2011 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) 1585 - 1590 2011 [Refereed]
A Quasi-linear Approach for Microarray Missing Value Imputation
Yu Cheng, Lan Wang, Jinglu Hu
NEURAL INFORMATION PROCESSING, PT I 7062 233 - + 2011 [Refereed]
Quasi-ARX Wavelet Networks for Nonlinear System Identification
Y. Cheng, L. Wang, J. Hu
Proc. of 2010 International Conference on Modeling, Simulation and Control (ICMSC'10) (Cairo) 407 - 411 2010.11 [Refereed]
Nonlinear Adaptive Control Using Support Vector Regression Based on Improved Quasi-ARX Model
L. Wang, Y. Cheng, J. Hu
Proc. of 2010 International Conference on Modeling, Simulation and Control (ICMSC'10) (Cairo) 412 - 416 2010.11 [Refereed]
A Quasi-ARX Neural Network with Switching Mechanism to Adaptive Control of Nonlinear Systems
L. Wang, Y. Cheng, J. Hu
SICE Journal of Control, Measurement, and System Integration 3 ( 4 ) 246 - 252 2010.07 [Refereed]
AN IMPROVED MULTI-LABEL CLASSIFICATION METHOD BASED ON SVM WITH DELICATE DECISION BOUNDARY
Benhui Chen, Liangpeng Ma, Jinglu Hu
INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 6 ( 4 ) 1605 - 1614 2010.04 [Refereed]
Extraction of Glomeruli Using a Canny Operator with a Feedback Strategy
J. Zhang, J. Hu, H. Zhu
JAMIT Medical Imaging Technology 28 ( 2 ) 127 - 134 2010.03 [Refereed]
Quasi-ARX neural network and its application to adaptive control of nonlinear systems
L. Wang, Y. Cheng, J. Hu
Proc. 15th International Symposium on Artificial Life and Robotics (AROB 15th'10) (Bepu) 577 - 580 2010.02 [Refereed]
Variable Structure Neural Network for Adaptive Color Clustering
J. Zhang, J. Hu
Proc. of the 7th IASTED International Conference Signal Processing, Pattern Recognition and Applications (SPPRA 2010) (Innsbruck) 248 - 252 2010.02 [Refereed]
An Adaptive Niching EDA Based on Clustering Analysis
Benhui Chen, Jinglu Hu
2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) 858 - 864 2010 [Refereed]
An Improved Multi-label Classification Based on Label Ranking and Delicate Boundary SVM
Benhui Chen, Weifeng Gu, Jinglu Hu
2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010 786 - 791 2010 [Refereed]
A Novel Frequency Band Selection Method for Common Spatial Pattern in Motor Imagery Based Brain Computer Interface
Gufei Sun, Jinglu Hu, Gengfeng Wu
2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010 335 - 340 2010 [Refereed]
Nonlinear Adaptive Control using a Fuzzy Switching Mechanism Based on Improved Quasi-ARX Neural Network
Lan Wang, Yu Cheng, Jinglu Hu
2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010 3078 - 3084 2010 [Refereed]
Combining binary-SVM and pairwise label constraints for multi-label classification
Weifeng Gu, Benhui Chen, Jinglu Hu
IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2010) 4176 - 4181 2010 [Refereed]
Adaptive Switching Control Based on Quasi-ARX RBFN Model
Lan Wang, Yu Cheng, Jinglu Hu
2011 INTERNATIONAL CONFERENCE ON COMPUTERS, COMMUNICATIONS, CONTROL AND AUTOMATION (CCCA 2011), VOL I 76 - 79 2010 [Refereed]
Interesting Rules Mining with Deductive Method
W. Dou, J. Hu, G. Wu
Proc. of ICROS-SICE International Joint Conference 2009 (Fukuoka) 142 - 146 2009.08 [Refereed]
Adaptive Epsilon Non-dominated Sorting Multi-objective Evolutionary Optimization and Its Application in Shortest Path Problem
Y. Cheng, Y. Jin, J. Hu
Proc. of ICROS-SICE International Joint Conference 2009 (Fukuoka) 2545 - 2549 2009.08 [Refereed]
An Improved Backtracking Method for EDAs Based Protein Folding
B. Chen, L. Li, J. Hu
Proc. of ICROS-SICE International Joint Conference 2009 (Fukuoka) 4669 - 4673 2009.08 [Refereed]
An Improvement of Quasi-ARX Prodictor to Control of Nonlinear Systems Using Nonlinear PCA Network
L. Wang, J. Hu
Proc. of ICROS-SICE International Joint Conference 2009 (Fukuoka) 5095 - 5099 2009.08 [Refereed]
Human Resource Selection Based on Performance Classification Using Weighted Support Vector Machine
Q. Wang, B. Li, J. Hu
Journal of Advanced Computational Intelligence and Intelligent Informatics 13 ( 4 ) 407 - 417 2009.07 [Refereed]
A Fast SVM Training Method for Very Large Datesets
B. Li, Q. Wang, J. Hu
Proc. of International Joint Conference on Neural Networks (Atlanta) 1784 - 1789 2009.06 [Refereed]
Automatic Segmentation Technique for Color Images
J. Zhang, J. Hu
ICGST International Journal on Graphics, Vision and Image Processing (GVIP) 9 ( 3 ) 41 - 49 2009.06 [Refereed]
Renal Biopsy Image Segmentation Based on 2-D Otsu Method with Histogram Analysis
J. Zhang, J. Hu
JAMIT Medical Imaging Technology 27 ( 3 ) 185 - 192 2009.05 [Refereed]
RGB Color Centroids Segmentation (CCS) for Face Detection
J. Zhang, Q. Zhang, J. Hu
ICGST International Journal on Graphics, Vision and Image Processing (GVIP) 9 ( 2 ) 1 - 9 2009.04 [Refereed]
Study of multi-branch structure of Universal Learning Networks
S. Mabu, K. Shimada, K. Hirasawa, J. Hu
Applied Soft Computing 9 ( 1 ) 393 - 403 2009.01 [Refereed]
Enhancing the generalization ability of neural networks through controlling the hidden layers
W. Wan, S. Mabu, K. Shimada, K. Hirasawa, J. Hu
Applied Soft Computing 9 ( 1 ) 404 - 414 2009.01 [Refereed]
Curvilinear Thresholding Method for Noisy Images based on 2D Histogram
Jun Zhang, Jinglu Hu
2008 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS, VOLS 1-4 1014 - 1019 2009 [Refereed]
A Novel EDAs Based Method for HP Model Protein Folding
Benhui Chen, Long Li, Jinglu Hu
2009 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-5 309 - 315 2009 [Refereed]
Glomerulus Extraction by Using Genetic Algorithm for Edge Patching
Jiaxin Ma, Jun Zhang, Jinglu Hu
2009 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-5 2474 - 2479 2009 [Refereed]
A Fast SVM Training Method for Very Large Datasets
Boyang Li, Qiangwei Wang, Jinglu Hu
IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6 277 - 282 2009 [Refereed]
An Automatic Segmentation Technique for Color Images based on SOFM Neural Network
Jun Zhang, Jinglu Hu
IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6 1005 - 1010 2009 [Refereed]
A Novel Clustering Based Niching EDA for Protein Folding
Benhui Chen, Jinglu Hu
2009 WORLD CONGRESS ON NATURE & BIOLOGICALLY INSPIRED COMPUTING (NABIC 2009) 747 - 752 2009 [Refereed]
A Two-Step Method for Nonlinear Polynomial Model Identification Based on Evolutionary Optimization
Yu Cheng, Lan Wang, Jinglu Hu
2009 WORLD CONGRESS ON NATURE & BIOLOGICALLY INSPIRED COMPUTING (NABIC 2009) 612 - 617 2009 [Refereed]
Adaptive Control for Nonlinear Systems Based on Quasi-ARX Neural Network
Lan Wang, Yu Cheng, Jinglu Hu
2009 WORLD CONGRESS ON NATURE & BIOLOGICALLY INSPIRED COMPUTING (NABIC 2009) 1547 - 1550 2009 [Refereed]
Feature Selection for Human Resource Selection Based on Affinity Propagation and SVM Sensitivity Analysis
Qiangwei Wang, Boyang Li, Jinglu Hu
2009 WORLD CONGRESS ON NATURE & BIOLOGICALLY INSPIRED COMPUTING (NABIC 2009) 31 - 36 2009 [Refereed]
A Dynamic Pattern Recognition Approach Based on Neural Network for Stock Time-Series
Bo Zhou, Jinglu Hu
2009 WORLD CONGRESS ON NATURE & BIOLOGICALLY INSPIRED COMPUTING (NABIC 2009) 1551 - 1554 2009 [Refereed]
A New Method for Identifying Nonlinear Polynomial Model Using Genetic Algorithm
J. Hu, B. Chen
Proc. of the 3rd International Symposium on Computational Intelligence and Industrial Applications (Dali) 75 - 84 2008.11 [Refereed]
A New SVM Based Method for Solving Multi-Label Classification Problem
B. Chen, L. Ma, J. Hu
Proc. of the 3rd International Symposium on Computational Intelligence and Industrial Applications (Dali) 325 - 334 2008.11 [Refereed]
Weighted Support Vector Machine with Combination Weighting Method for Human Resource Selection
Q. Wang, J. Hu, Y. Zhou
Proc. of the 3rd International Symposium on Computational Intelligence and Industrial Applications (Dali) 405 - 413 2008.11 [Refereed]
Network Administrator Assistance System Based on on Fuzzy C-Means Analysis
B. Chen, J. Hu, L. Duan, Y. Gu
Proc. of the 3rd International Symposium on Computational Intelligence and Industrial Applications (Dali) 49 - 55 2008.11 [Refereed]
Human Resource Selection Based on Performance Classification Using Weighted Support Vector Machine
Q. Wang, B. Li, J. Hu
Prod. of Joint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on Advanced Intelligent Systems 1837 - 1842 2008.09 [Refereed]
遺伝的ネットワークプログラミングによる不完全データベースからのクラス相関ルールの抽出
嶋田・間普, 森川, 平澤・古月
電気学会論文誌C 128 ( 5 ) 795 - 803 2008.05 [Refereed]
Shingo Mabu, Kotaro Hirasawa, Hiroyuki Hatakeyama, Jinglu Hu
SICE Journal of Control, Measurement, and System Integration 44 ( 4 ) 343 - 350 2008.04 [Refereed]
Actor-Critic を用いた遺伝的ネットワークプログラミングの小型移動ロボットの行動生成における性能評価
間普・平澤, 畠山・古月
計測自動制御学会論文集 44 ( 4 ) 795 - 803 2008.04 [Refereed]
An Improved Support Vector Machine with Soft Decision-Making Boundary
B. Li, J. Hu, K. Hirasawa
Proc. of 2008 the IASTED International Conference on Artificial Intelligence and Applications (AIA 2008) (Innsbruck) 40 - 45 2008.02 [Refereed]
Multibranch structure and its localized property in layered neural networks
Takashi Yamashita, Kotaro Hirasawa, Takayuki Furuzuki
ELECTRICAL ENGINEERING IN JAPAN 162 ( 1 ) 48 - 55 2008.01 [Refereed]
A Genetic Network Programming Based Method to Mine Generalized Association Rules with Ontology
G. Yang, K. Shimada, S. Mabu, K. Hirasawa, J. Hu
Journal of Advanced Computational Intelligence and Intelligent Informatics 12 ( 1 ) 63 - 76 2008.01 [Refereed]
A Global Optimization Method RasID-GA for Neural Network Training
D. Sohn, S. Mabu, K. Shimada, K. Hirasawa, J. Hu
Journal of Advanced Computational Intelligence and Intelligent Informatics 12 ( 1 ) 85 - 93 2008.01 [Refereed]
Support Vector Machine Classifier with WHM Offset for Unbalanced Data
B. Li, J. Hu, K. Hirasawa
Journal of Advanced Computational Intelligence and Intelligent Informatics 12 ( 1 ) 94 - 101 2008.01 [Refereed]
Multiple sequence alignment based on genetic algorithms with reserve selection
Yang Chen, Jinglu Hu, Kotaro Hirasawa, Songnian Yu
PROCEEDINGS OF 2008 IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL, VOLS 1 AND 2 1511 - + 2008 [Refereed]
Solving Deceptive Problems Using A Genetic Algorithm with Reserve Selection
Yang Chen, Jinglu Hu, Kotaro Hirasawa, Songnian Yu
2008 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-8 884 - + 2008 [Refereed]
Distributed Multi-Relational Data Mining Based on Genetic Algorithm
Wenxiang Dou, Jinglu Hu, Kotaro Hirasawa, Gengfeng Wu
2008 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-8 744 - + 2008 [Refereed]
Financial Time Series Prediction Using a Support Vector Regression Network
Boyang Li, Jinglu Hu, Kotaro Hirasawa
2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8 621 - 627 2008 [Refereed]
Gene Classification Using An Improved SVM Classifier with Soft Decision Boundary
Boyang Li, Liangpeng Ma, Jinglu Hu, Kotaro Hirasawa
2008 PROCEEDINGS OF SICE ANNUAL CONFERENCE, VOLS 1-7 2375 - 2379 2008 [Refereed]
Quick Response Data Mining Model Using Genetic Algorithm
Wenxiang Dou, Jinglu Hu, Kotaro Hirasawa, Gengfeng Wu
2008 PROCEEDINGS OF SICE ANNUAL CONFERENCE, VOLS 1-7 1166 - + 2008 [Refereed]
Glomerulus Extraction by Optimizing the Fitting Curve
Jun Zhang, Jinglu Hu
PROCEEDINGS OF THE 2008 INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN, VOL 2 169 - 172 2008 [Refereed]
Recurrent Neural Networks with Multi-Branch Structure
T. Yamashita, S. Mabu, K. Hirasawa, J. Hu
IEEJ Trans. EIS 127 ( 9 ) 1430 - 1435 2007.09 [Refereed]
Optimizating Reserve Size in Genetic Algorithms with Reserve Selection Using Reinforcement Learning
Y. Chen, J. Hu, K. Hirasawa, S. Yu
Proc. of SICE Annual Conference 2007 (Kagawa) 1341 - 1347 2007.09 [Refereed]
J. Zhou, L. Yu, S. Mabu, K. Hirasawa, J. Hu, S. Markon
Trans. of the Institute of Electrical Engineers of Japan 127C ( 8 ) 1234 - 1242 2007.08 [Refereed]
強化学習と重要度指標を用いた遺伝的ネットワークプログラミングによる株式売買モデル
間普, 平澤, 古月
電気学会論文誌C 127 ( 7 ) 1061 - 1067 2007.07 [Refereed]
L. Yu, J. Zhou, S. Mabu, K. Hirasawa, J. Hu, S Markon
Trans. of the Institute of Electrical Engineers of Japan 127C ( 7 ) 1115 - 1122 2007.07 [Refereed]
Optimization Method RasID-GA for Numerical Constrained Optimization Problems
D.Sohn, S.Mabu, K.Hirasawa, J.Hu
Journal of Advanced Computational Intelligence and Intelligent Informatics 11 ( 5 ) 469 - 477 2007.05 [Refereed]
ローソク足チャートを利用したGenetic Network Programmingによる株式売買モデル
間普・泉, 平澤・古月
計測自動制御学会論文集 43 ( 4 ) 317 - 322 2007.04 [Refereed]
Genetic Network Programming with Actor-Critic
H. Hatakeyama, S. Mabu, K. Hirasawa, J. Hu
Journal of Advanced Computational Intelligence and Intelligent Informatics 11 ( 1 ) 79 - 86 2007.01 [Refereed]
A hierarchical learning system incorporating with supervised, unsupervised and reinforcement learning
Jinglu Hu, Takafumi Sasakawa, Kotaro Hirasawa, Huiru Zheng
ADVANCES IN NEURAL NETWORKS - ISNN 2007, PT 1, PROCEEDINGS 4491 403 - + 2007 [Refereed]
GARS: An Improved Genetic Algorithm with Reserve Selection for Global Optimization
Yang Chen, Jinglu Hu, Kotaro Hirasawa, Songnian Yu
GECCO 2007: GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, VOL 1 AND 2 1173 - + 2007 [Refereed]
Performance tuning of genetic algorithms with reserve selection
Yang Chen, Jinglu Hu, Kotaro Hirasawa, Songnian Yu
2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS 2202 - + 2007 [Refereed]
Effects of Passenger's Arrival Distribution to Double-deck Elevator Group Supervisory Control Systems using Genetic Network Programming
Lu Yu, Jin Zhou, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Sandor Markon
GECCO 2007: GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, VOL 1 AND 2 6 ( 11 ) 1476 - + 2007 [Refereed]
Adaptive Random Search with Intensification and Diversification Combined with Genetic Algorithm
S. Sohn, H. Hatakeyama, S. Mabu, K. Hirasawa, J. Hu
Journal of Advanced Computational Intelligence and Intelligent Informatics 10 ( 6 ) 921 - 930 2006.12 [Refereed]
Alternate Genetic Network Programming with Association Rules Acquisition Mechanisms between Attribute Families
K. Shimada, K. Hirasawa, J. Hu
Journal of Advanced Computational Intelligence and Intelligent Informatics 10 ( 6 ) 954 - 963 2006.12 [Refereed]
遺伝的ネットワークプログラミングによる相関ルールの抽出
嶋田, 平澤, 古月
知能と情報(日本知能情報ファジイ学会誌) 18 ( 6 ) 881 - 891 2006.12 [Refereed]
A Quasi-ARMA Model for Financial Time Series Prediction
L. Huang, J. Hu, K. Hirasawa
Proc. the 38th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS2006) (Nagano) 64 - 69 2006.11 [Refereed]
Genetic Network Programmingによるダブルデッキ群管理システムの最適化
江口・周, 平澤, 古月・マルコン
計測自動制御学会論文集 42 ( 11 ) 1260 - 1268 2006.11 [Refereed]
A Brain-like Learning System with Supervised, Unsupervised and Reinforcement Learning
T.Sasakawa, J.Hu, K.Hirasawa
IEEJ Trans. on Electronics, Information and Systems 126 ( 9 ) 1165 - 1172 2006.09 [Refereed]
重要度指標付きGenetic Network Programmingにおける機能切り替えについて
江藤・畠山, 間普, 平澤・古月
情報処理学会論文誌 47 ( 9 ) 2860 - 2868 2006.09 [Refereed]
Realizing Functional Localization Using Genetic Network Programming with Importance Index
S. Eto, H. Hatakeyama, S. Mabu, K. Hirasawa, J. Hu
Journal of Advanced Computational Intelligence and Intelligent Informatics 10 ( 4 ) 555 - 566 2006.08 [Refereed]
Elevator Group Supervisory Control System Using Genetic Network Programming with Functional Localization
T.Eguchi, J.Zhou, S.Eto, K.Hirasawa, J.Hu, S.Marko
Journal of Advanced Computational Intelligence and Inteligent Informatics 10 ( 3 ) 385 - 394 2006.06 [Refereed]
Adaptation and Self-Adaptation Mechanisms in Genetic Network Programming for Mining Association Rules
K. Taboada, E. Gonzales, K. Shimada, S. Mabu, K. Hirasawa, J. Hu
Journal of Advanced Computational Intelligence and Intelligent Informatics 11 ( 3 ) 343 - 353 2006.06 [Refereed]
重要度指標付きGenetic Network Programmingを用いた株式売買モデル
泉, 平澤, 古月
計測自動制御学会論文集 42 ( 5 ) 559 - 566 2006.05 [Refereed]
プログラムサイズ可変型マクロノードつき遺伝的ネットワークプログラミング
間普・畠山, 中越, 平澤・古月
IEEJ Trans on Electronics, Information and Systems 126 ( 4 ) 548 - 555 2006.04 [Refereed]
ランキング処理とノード関数最適化を考慮したGenetic Network Programmingによろエレベータ群管理システム
江口・周, 平澤, 古月・マルコン
計測自動制御学会論文集 42 ( 3 ) 281 - 290 2006.03 [Refereed]
Genetic Network Programming with Acquisition Mechanisms of Association Rules
K. Shimada, K. Hirasawa, J. Hu
Joural of Advanced Computational Intelligence and Intelligent Informatics 10 ( 1 ) 102 - 111 2006.02 [Refereed]
Genetic network programming with acquisition mechanisms of association rules in dense database
Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu
INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION JOINTLY WITH INTERNATIONAL CONFERENCE ON INTELLIGENT AGENTS, WEB TECHNOLOGIES & INTERNET COMMERCE, VOL 2, PROCEEDINGS 10 ( 1 ) 47 - + 2006 [Refereed]
Support vector machine with fuzzy decision-making for real-world data classification
Boyang Li, Jinglu Hu, Kotaro Hirasawa, Pu Sun, Kenneth Marko
2006 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORK PROCEEDINGS, VOLS 1-10 587 - + 2006 [Refereed]
Effective training methods for function localization neural networks
Takafumi Sasakawa, Jinglu Hu, Katsunori Isono, Kotaro Hirasawa
2006 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORK PROCEEDINGS, VOLS 1-10 4785 - + 2006 [Refereed]
Genetic network programming with reinforcement learning and its application to making mobile robot behavior
Shingo Mabu, Hiroyuki Hatakeyamay, Moe Thu Thu, Kotaro Hirasawa, Jinglu Hu
IEEJ Transactions on Electronics, Information and Systems 126 ( 8 ) 1009 - 1015 2006 [Refereed]
Fuzzy decision-making SVM with an offset for real-world lopsided data classification
Boyang Li, Jinglu Hu, Kotaro Hirasawa
2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13 3881 - + 2006 [Refereed]
強化学習を用いた遺伝的ネットワークプログラミングとそのエージェントの行動生成における性能評価
間普, 平澤, 古月
情報処理学会論文誌 46 ( 12 ) 3207 - 3217 2005.12 [Refereed]
獲得した情報を用いる遺伝的ネットワークプログラミングによるデータマイニング
嶋田, 平澤, 古月
情報処理学会論文誌 46 ( 10 ) 2576 - 2586 2005.10 [Refereed]
A Neural Network Approach to Improving Identification of Nonlinear Polynominal Models
J. Hu, Y. Li, K. Hirasawa
Proc. of SICE Annual Conference (Okayama) 1662 - 1667 2005.08 [Refereed]
Genetic Network Programming Programming for Automatic Program Generation
S. Mabu, K. Hirasawa, Y. Matsuya, J. Hu
Journal of Advanced Computational Intelligence and Intelligent Informatics 9 ( 4 ) 430 - 436 2005.08 [Refereed]
Genetic Network Programmingによるエレベータ群管理システムの基礎検討
江口・周, 平澤, 古月・マルコン
IEEJ Trans on Electronics, Information and Systems 125 ( 7 ) 1055 - 1062 2005.07 [Refereed]
階層型ニューラルネットワークにおけるマルチブランチ構造とその局所性
山下, 平澤, 古月
IEEJ Trans. on Electronics, Information and Systems 125 ( 6 ) 941 - 947 2005.06 [Refereed]
Genetic Network Prorammingによる株価予測と売買モデル
森, 平澤, 古月
IEEJ Trans. on Electronics, Information and Systems 125 ( 4 ) 631 - 636 2005.04 [Refereed]
機能局在型Genetic Network Programmingの構成
江藤, 平澤, 古月
IEEJ Trans. on Electronics, Information and Systems 125 ( 2 ) 329 - 336 2005.02 [Refereed]
Self-organizing Function Localization Neural Network
T.Sasakawa, J.Hu, K.Hirasawa
Trans. of the Society of Instrument and Control Engineers 41 ( 1 ) 67 - 74 2005.01 [Refereed]
Performance optimization of function localization neural network by using reinforcement learning
T Sasakawa, JL Hu, K Hirasawa
Proceedings of the International Joint Conference on Neural Networks (IJCNN), Vols 1-5 1314 - 1319 2005 [Refereed]
Performance optimization of function localization neural network by using reinforcement learning
T Sasakawa, JL Hu, K Hirasawa
Proceedings of the International Joint Conference on Neural Networks (IJCNN), Vols 1-5 1314 - 1319 2005 [Refereed]
Genetic Network Programming with Evolution and Learning and Its Application to the Tileworld Problem
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
T. SICE 40 ( 11 ) 1106 - 1113 2004.11 [Refereed]
一般化学習ネットワークの教師つき学習による連想記憶モデルの構築
平澤・渋田, 古月・大田
IEEJ Trans. on Electronics, Information and Systems 124 ( 11 ) 2359 - 2367 2004.11 [Refereed]
中越・間普, 平澤・古月
IEEJ Trans. on Electronics, Information and Sysems 124 ( 8 ) 1619 - 1625 2004.08 [Refereed]
A Robust Controller Design Method of Nonlinear Systems Based on Feedback Error Learning
H. Chen, K. Hirasawa, J. Hu
Machine Intelligence & Robotic Control 5 ( 4 ) 121 - 128 2004.04 [Refereed]
適応的離散ランダム探索法RasID-Dと最適化問題への適用
平澤・宮崎, 古月・後藤
信号処理(Journal of Signal Processing) 8 ( 4 ) 351 - 358 2004.04 [Refereed]
一般化学習ネットワークを利用した非線形離散時間動的システムの安定解析
平澤, 古月, 于・間普
信号処理(Journal of Signal Processing) 8 ( 3 ) 235 - 247 2004.03 [Refereed]
ネットワーク型アセンブリ言語を用いた人工生態系モデルの基礎検討
白石・平澤, 古月・村田
IEEJ Trans. on Electronics, Information and Systems 124 ( 2 ) 418 - 424 2004.02 [Refereed]
マルチエージェントシステムの共生進化モデルの構築
江口, 平澤, 古月
情報処理学会論文誌:数理モデル化と応用 45 ( 2 ) 144 - 156 2004.02 [Refereed]
共生と進化現象を統合する生態系のモデル化の研究
山下・平澤, 古月・武居
信号処理(Journal of Signal Processing) 8 ( 1 ) 63 - 72 2004.01 [Refereed]
Self-organized function localization neural network
T Sasakawa, JL Hu, K Hirasawa
2004 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS 1463 - 1468 2004 [Refereed]
Training quasi-ARX neural network model by homotopy approach
JL Hu, XB Lu, K Hirasawa
SICE 2004 ANNUAL CONFERENCE, VOLS 1-3 367 - 372 2004 [Refereed]
平澤・山下, 古月・李
信号処理(Journal of Signal Processing) 7 ( 6 ) 411 - 420 2003.11 [Refereed]
Genetic Network Programmingを用いた共生学習進化型マルチエージェントシステム
江口・平澤, 古月・村田
IEEJ Trans. on Electronics, Information and Systems 123 ( 3 ) 517 - 527 2003.03 [Refereed]
Neural Network Based Prediction Model for Control of Nonlinear Systems
J.Hu, K.Hirasawa
Trans. of the Society of Instrument and Control Engineering 39 ( 2 ) 168 - 175 2003.02 [Refereed]
平澤・中西, 江口・古月
IEEJ Trans. on Electronics, Information and Systems 123 ( 1 ) 67 - 74 2003.01 [Refereed]
Genetic Network Programmingとそのマルチエージェントシステムへの応用
片桐・平澤, 古月・村田
IEEJ Trans. on Electronics, Information and Systems 122 ( 12 ) 2145 - 2156 2002.12 [Refereed]
Robust Neural Controller Designing Method with a Dual Learning Algorithm
H. Chen, K. Hirasawa, J. Hu
Machine Intelligence and Robotic Control 4 ( 4 ) 135 - 142 2002.12 [Refereed]
A Quasi-ARX Model Incororating Neural Networks for Control of Nonlinear Systems
J. Hu, K. Hirasawa, K. Kumamaru
Proc. of the 15th IFAC World Congress (Barcelona) 2002.10 [Refereed]
An Adaptive Random Search Algorithm with Tuning Capabilities
J. Hu, K. Hirasawa, H. Miyazaki
Proc. of the 34th ISCIE International Symposium on Stochastic System Theory and Its Applications (Fukuoka) 148 - 153 2002.10 [Refereed]
Universal Learning Networks with Branch Control
Q. Xiong, K. Hirasawa, J. Hu, D. Li
IEEJ Trans. on Electronics, Information and Systems 122 ( 10 ) 1812 - 1820 2002.10 [Refereed]
H. Katagiri, K. Hirasawa, J. Hu, J. Murata, M. Kosaka
Trans. of the Society of Instrument and Control Engineering 38 ( 5 ) 485 - 494 2002.05 [Refereed]
W. Wan, K. Hirasawa, J. Hu, J. Murata
Trans. of the Society of Instrument and Control Engineering 38 ( 4 ) 411 - 419 2002.04 [Refereed]
マルチエージェントシステムの共生学習進化(Masbiole)の基礎検討
平澤・吉田, 中西・古月
IEEJ Trans. on Electronics, Information and Systems 122 ( 3 ) 346 - 354 2002.03 [Refereed]
Online Learning of Genetic Network Programming
S. Mabu, K. Hirasawa, J. Hu, J. Murata
IEEJ Trans. on Electronics, Information and Systems 122 ( 3 ) 355 - 362 2002.03 [Refereed]
Online learning of Genetic Network Programming (GNP)
S Mabu, K Hirasawa, JL Hu, J Murata
CEC'02: PROCEEDINGS OF THE 2002 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2 1 321 - 326 2002
The Basic Study of Artificial Ecosystem Models Using Network-Type Assembly-Like Language.
Yuhki Shiraishi, Kotaro Hirasawa, Jinglu Hu, Junichi Murata
Late Breaking papers at the Genetic and Evolutionary Computation Conference (GECCO-2002) 412 - 418 2002
一般化学習ネットワークのインパルス応答に基づく非線形制御方式
平澤・橋本, 古月, 村田・金
IEEJ Trans. on Electronics, Information and Systems 122 ( 1 ) 105 - 115 2002.01 [Refereed]
A method for applying multilayer perceptrons to control of nonlinear systems
J Hu, K Hirasawa
ICONIP'02: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING 1267 - 1271 2002 [Refereed]
Overlapped Multi-Neural-Netowrk and Its Traing Algorithm
J. Hu, K. Hirasawa, Q.Xiong
IEEJ Trans. on Electronics, Information and Systems 121 ( 12 ) 1949 - 1956 2001.12 [Refereed]
Genetic Symbiosis Algorithm for Multiobjective Optimization Problems
J. Mao, K. Hirasawa, J. Hu, J. Murata
Trans. of the Society of Instrument and Control Engineers 37 ( 9 ) 894 - 901 2001.09 [Refereed]
A New Minimax Control Method for Nonlinear Systems Using Universal Learning Networks
H. Chen, K. Hirasawa, J. Hu, J. Murata
IEEJ Trans. on Electronics, Information and Systems 121 ( 9 ) 1471 - 1478 2001.09 [Refereed]
蟻の行動進化におけるGenetic Netwok ProgrammingとGenetic Programmingの性能比較
平澤, 大久保, 古月
IEEJ Trans. on Electronics, Information and Systems 121 ( 6 ) 1001 - 1009 2001.06 [Refereed]
A new control method of nonlinear systems based on impulse responses of universal learning networks
K Hirasawa, JL Hu, J Murata, CZ Jin
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS 31 ( 3 ) 362 - 372 2001.06 [Refereed]
白石・平澤, 古月・村田
IEEJ Trans. on Electronics, Information and Systems 121 ( 1 ) 187 - 195 2001.01 [Refereed]
平澤・衛藤, 古月, 村田・熊
IEEJ Trans. on Electronics, Information and Systems 121 ( 1 ) 98 - 105 2001.01 [Refereed]
平澤, 吉田, 古月
IEEJ Trans. on Electronics, Information and Systems 121 ( 1 ) 177 - 186 2001.01 [Refereed]
An embedded sigmoidal neural network for modeling of nonlinear systems
JL Hu, K Hirasawa
IJCNN'01: INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS 3 1698 - 1703 2001 [Refereed]
A hierarchical method for training embedded sigmoidal neural networks
J Hu, K Hirasawa
ARTIFICIAL NEURAL NETWORKS-ICANN 2001, PROCEEDINGS 2130 937 - 942 2001 [Refereed]
Enhancing the generalization ability of neural networks by using Gram-Schmidt orthogonalization algorithm
WS Wan, K Hirasawa, JL Hu, J Murata
IJCNN'01: INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS 39 ( 7 ) 1721 - 1726 2001 [Refereed]
金・平澤, 古月, 村田・松岡
情報処理学会論文誌:数理モデル化と応用 41 ( SIG 7 ) 64 - 78 2000.11 [Refereed]
平澤・四元, 古月・于
IEEJ Trans. on Electronics, Information and Systems 120 ( 10 ) 1380 - 1387 2000.10 [Refereed]
Quasi-ARMAX Modeling Approaches to Identification and Prediction of Nonlinear Systems
J. Hu, K. Kumamaru, K. Hirasawa
Proc. of the 12th IFAC Symposium on Identification (Santa Barbara) 2000.06 [Refereed]
Universal learning network and its application to robust control
K Hirasawa, J Murata, J Hu, C Jin
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS 30 ( 3 ) 419 - 430 2000.06 [Refereed]
Stability Analysis of Robust Control Using Higher Order Derivatives of Universal Learning Networks
Y. Yu, K. Hirasawa, J. Hu, J. Murata
Machine Intelligence and Robotic Control 2 ( 3 ) 117 - 127 2000.06 [Refereed]
Chaos control on universal learning networks
K Hirasawa, J Murata, JL Hu, CZ Jin
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS 30 ( 1 ) 95 - 104 2000.02 [Refereed]
RasID Training of Multi-Agent Systems with Fuzzy Inference-Based Mutual Interactions
K. Hirasawa, J. Murata, J. Hu, C.Z. Jin
Machine Intelligence & Robotic Control 2 ( 1 ) 17 - 25 2000.02 [Refereed]
Universal Learning Networks with Branch Control
Kotaro Hirasawa, Jinglu Hu, Qingyu Xiong, Junichi Murata, Yuhki Shiraishi
Proceedings of the International Joint Conference on Neural Networks 3 97 - 102 2000
Self-organization in probabilistic neural networks.
Yuhki Shiraishi, Kotaro Hirasawa, Jinglu Hu, Junichi Murata
Proceedings of the IEEE International Conference on Systems, Man & Cybernetics: "Cybernetics Evolving to Systems, Humans, Organizations, and their Complex Interactions"(SMC) 2533 - 2538 2000
Overlapped multi-neural-network: A case study
JL Hu, K Hirasawa
IJCNN 2000: PROCEEDINGS OF THE IEEE-INNS-ENNS INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOL I I 120 - 125 2000 [Refereed]
A Probabilistic Learning Network Based Robust Control Scheme for Nonlinear Systems
J. Hu, K. Hirasawa, J. Murata, C.Z. Jin, T. Matsuoka
Journal of Advanced Computational Intelligence and Intelligent Informatics 3 ( 6 ) 485 - 489 1999.12 [Refereed]
A Neurofuzzy Approach to Fault Detection of Nonlinear Systems
J. Hu, K. Kumamaru, K. Hirasawa
Journal of Advanced Computational Intelligence and Intelligent Informatics 3 ( 6 ) 524 - 531 1999.12 [Refereed]
Adaptive Random Search Approach to Identification of Neural Network Model
J. Hu, K. Hirasawa
Proc of the 31th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (Yokohama) 73 - 78 1999.11 [Refereed]
ファジイ共生と学習を考慮したLotka-Volterra生態系モデル
楠見・平澤, 古月・村田
IEEJ Trans. on Electionics, Information and Systems 119 ( 11 ) 1405 - 1413 1999.11 [Refereed]
遺伝的共生アルゴリズム
平澤・石川, 古月・村田
計測自動制御学会論文集 35 ( 9 ) 1198 - 1206 1999.09 [Refereed]
Adaptive Predictor for Control of Nonlinear Systems Based on Neurofuzzy Models
J. Hu, K. Hirasawa, K. Kumamaru
Proc. of European Control Conference (Karlsruhe) 1999.08 [Refereed]
Control of Decentrlized Systems Based on Nash Equilibrium Concept of Game Theory
K. Hirasawa, J. Hu, Y. Yamamoto, C. Jin, Y. Eki
Journal of Advanced Computational Intelligence and Intelligent Informatics 3 ( 4 ) 312 - 319 1999.08 [Refereed]
LimNet -- Flexible Learning Network Containing Linear Properties
J. Hu, K. Hirasawa, K. Kumamaru
Journal of Advanced Computational Intelligence and Intelligent Informatics 3 ( 4 ) 303 - 311 1999.08 [Refereed]
A Neurofuzzy-Based Adaptive Predictor for Control of Nonlinear Systems
J. Hu, K. Hirasawa, K. Kumamaru
Trans. of the Society of Instrument and Control Engineers 35 ( 8 ) 1060 - 1068 1999.08 [Refereed]
Control of Nonlinear Systems Based on a Probabilistic Learning Network
J. Hu, K. Hirasawa, C. Jin, T. Matsuoka
Proc of the 14th IFAC World Congress (Beijing) C 447 - 452 1999.07 [Refereed]
An Indirect Approach to Adaptive Control of Nonlinear Systems Using Quasi-ARMAX Model
J. Hu, K. Kumamaru, K. Hirasawa, K. Inoue
Proc. of the 14th IFAC World Congress (Beijing) I 391 - 396 1999.07 [Refereed]
Object Oriented Learning Network and Its Applications
J. Hu, K. Hirasawa
Proc. of IEEE International Joint Conference on Neural Networks (Washington) 1999.07 [Refereed]
平澤, 古月, 金
IEEJ Trans. on Electronics, Information and Systems 119 ( 7 ) 890 - 895 1999.07 [Refereed]
M. Han, K. Hirasawa, J. Hu, J. Murata
IEEJ Trans. on Electronics, Information and Systems 119 ( 5 ) 567 - 574 1999.05 [Refereed]
KDI-Based Robust Fault Detection in Presence of Nonlinear Undermodeling
J. Hu, K. Kumamaru, K. Inoue, K. Hirasawa
Trans. of the Society of Instrument and Control Engineers 35 ( 2 ) 200 - 207 1999.02 [Refereed]
A Homotopy Approach to Identification of ARMAX Systems
J. Hu, K. Hirasawa
IEEJ Trans. on Electronics, Information and Systems 119 ( 2 ) 206 - 211 1999.02 [Refereed]
Identification of ARMAX Model Model Based on Homotopy Approaches
J. Hu, K. Hirasawa, K. Kumamaru
Proc. of the 30th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (Kyoto) 87 - 92 1998.11 [Refereed]
A hybrid Quasi-ARMAX Modeling Scheme for Identification of Nonlinear Systems
J. Hu, K. Kumamaru, K. Inoue, K. Hirasawa
Trans. of the Society of Instrument and Control Engineers 34 ( 8 ) 977 - 985 1998.08 [Refereed]
RasID -- Random Search for Neural Netwroks Training
J. Hu, K. Hirasawa, J. Murata
Journal of Advanced Computational Intelligence and Intelligent Informatics 2 ( 4 ) 134 - 141 1998.08 [Refereed]
ニューラルネットワークの適応的ランダム探索最適化手法
平澤・東郷, 古月, 大林・サオ・村田
計測自動制御学会論文集 34 ( 8 ) 1088 - 1096 1998.08 [Refereed]
Computing Higher Order Derivatives in Universal Learning Networks
K. Hirasawa, J. Hu, J. Murata
Journal of Advanced Computational Intelligence and Intelligent Informatics 2 ( 2 ) 47 - 53 1998.04 [Refereed]
Clustering Control of Chaos Universal Learning Network
K. Hirasawa, J. Misawa, J. Hu, M. Ohbayashi, Y. Eki
Journal of Robotics and Mechatronics 10 ( 4 ) 305 - 310 1998.04 [Refereed]
Fault detection of nonlinear systems by using hybrid quasi-ARMAX models
K Kumamaru, J Hu, K Inoue, T Soderstrom
(SAFEPROCESS'97): FAULT DETECTION, SUPERVISION AND SAFETY FOR TECHNICAL PROCESSES 1997, VOLS 1-3 1125 - 1130 1998 [Refereed]
Identification of nonlinear black-box systems based on Universal Learning Networks
JL Hu, K Hirasawa, J Murata, M Ohbayashi, K Kumamaru
IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE 2465 - 2470 1998 [Refereed]
Adaptive control of nonlinear black-box systems based on Universal Learning Networks
JL Hu, K Hirasawa, J Murata, M Ohbayashi, K Kumamaru
IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE 2453 - 2458 1998 [Refereed]
A new random search method for neural network learning - RasID
JL Hu, K Hirasawa, J Mutata, M Ohbayashi, Y Eki
IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE 2346 - 2351 1998 [Refereed]
KDI-Based Robust Fault Detection Scheme for Nearly Linear Systems
J. Hu, K. Kumamaru, K. Inoue, K. Hirasawa
Proc of the 29th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (Tokyo) 13 - 18 1997.11 [Refereed]
Fuzzy Models Embedding of STR Controller for Nonlinear Stochastic Systems
J. Hu, K. Hirasawa, K. Kumamaru
Proc. of the 29th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (Tokyo) 51 - 56 1997.11 [Refereed]
A Method of Robust Fault Detection for Dynamic Systems by Using Quasi-ARMAX Modeling
K. Kumamaru, J. Hu, K. Inoue, T. Soderstrom
Proc of the 11th IFAC Symposium on Identification (Kitakyushu) 3 1207 - 1212 1997.07 [Refereed]
Adaptive Control of Nonlinear Stochastic Systems Based on a Hybrid Quasi-ARMAX Model
J. Hu, K. Kumamaru, K. Inoue
Proc. of the 28th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (Kyoto) 149 - 154 1996.11 [Refereed]
Robust Fault Detection Using Index of Kullback Discrimination Information
K. Kumamaru, J. Hu, K. Inoue, T. Soderstrom
Proc of the 13th IFAC World Congress (San Francisco) 205 - 210 1996.06 [Refereed]
A Hybrid Robust Identification Using Genetic Algorithm and Gradient Method
J. Hu, K. Kumamaru, K. Inoue
Trans. of the Society of Instrument and Control Engineers 32 ( 5 ) 714 - 721 1996.05 [Refereed]
A hybrid quasi-ARMAX modeling scheme for identification and control of nonlinear systems
JG Hu, K Kumamaru, K Inoue
PROCEEDINGS OF THE 35TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4 1413 - 1418 1996 [Refereed]
「進化技術ハンドブック」、第21章 21.1 自己組織化機能局在型ニューラルネットワーク、21.4 非線形多項式モデルの同定
古月 敬之( Part: Contributor)
近代科学社、東京 2011.11 ISBN: 9784764904187
Protein Structure Prediction Based on HP Model Using an Improved Hybrid EDA
Benhui Chen, Jinglu Hu( Part: Contributor)
Exploitation of Linkage Learning in Evolutionary Algorithms, Springer-Verlag, Berlin, Germany 2010.05 ISBN: 9783642128332
「ニューラルネットワーク計算知能」、第2章 線形特性を有するニューラルネットワーク
古月 敬之( Part: Contributor)
森北出版株式会社, 東京 2006.09 ISBN: 4627829914
A Method for Applying Neural Networks to Control of Nonlinear Systems
J.Hu, K.Hirasawa( Part: Contributor)
Neural Information Processing Research and Development, Springer, Berlin, Germany 2004.05 ISBN: 3540211233
Statistical Methods for Robust Change Detection in Dynamical Systems with Model Uncertainty
K. Kumamaru, J. Hu, K.Inoue, T. Soderstrom( Part: Contributor)
Statistical Methods in Control and Signal Processing, Mercel Dekker Inc., New York, USA 1997.08 ISBN: 0824799488
A double-deck elevator group supervisory control system using genetic network programming
Kotaro Hirasawa, Toru Eguchi, Jin Zhou, Lu Yu, Jinglu Hu, Sandor Markon
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS 38 ( 4 ) 535 - 550 2008.07
Benchmark Test of RasID-GA for Inequality/Equality Constrained Optimization
SOHN Dongkyu, MABU Shingo, HIRASAWA Kotaro, HU Jinglu
FAN Symposium : Intelligent System Symposium-fuzzy, AI, neural network applications technologies 16 155 - 160 2006.09
A preliminary study of portfolio of stock markets by GNP with a number of start nodes
SHIRAISHI Kensei, MABU Shingo, HIRASAWA Kotaro, HU Jinglu
FAN Symposium : Intelligent System Symposium-fuzzy, AI, neural network applications technologies 16 145 - 150 2006.09
Genetic Network Programming with Actor-Critic
HATAKEYAMA Hiroyuki, MABU Shingo, HIRASAWA Kotaro, HU Jinglu
FAN Symposium : Intelligent System Symposium-fuzzy, AI, neural network applications technologies 16 95 - 100 2006.09
Multi Agent System with Symbiotic Learning and Evolution
TANAKA Daisuke, MABU Shingo, HIRASAWA Kotaro, HU Jinglu
FAN Symposium : Intelligent System Symposium-fuzzy, AI, neural network applications technologies 16 187 - 192 2006.09
Basic study of Genetic Network Programming with Intron
HATA Kazuhiro, MABU Shingo, ETO Shinji, HIRASAWA Kotaro, HU Jinglu
FAN Symposium : Intelligent System Symposium-fuzzy, AI, neural network applications technologies 16 267 - 272 2006.09
Genetic Network Programming considering the evolution of Breadth and Depth
ETO Shinji, HIRASAWA Kotaro, FURUZUKI Takayuki
FAN Symposium : Intelligent System Symposium-fuzzy, AI, neural network applications technologies 16 263 - 266 2006.09
Genetic Network Programming with Automatically Generated Variable Size Macro Nodes
20 607 - 610 2004.06
ISCIIA2008 Excellent Paper Award
2008.11
電気学会 優秀論文賞
2001.09
広東省高教科技進歩二等賞
1991.10
広東省高教科技進歩二等賞
1989.10
中国教委科技成果二等賞
1986.05
Automatic Financial News Summary Using GPU based Deep Neural Networks
Project Year :
Deep Quasi-Linear SVM Based on Deep Neural Network and Its Applications
Project Year :
Study on Quasi-Linear Support Vector Machine and Its Applications
Project Year :
利用しやすい構造を有する準線形サポートベクターマシンの構成と応用に関する研究
科学研究費助成事業(早稲田大学) 科学研究費助成事業(基盤研究(C))
Project Year :
Study on Hierarchical and Function Localized Brain-like Systems
Project Year :
Study on Learning and Evolution of Genetic Network Programming and Its Application
Project Year :
Study on Learning and Evolution of Genetic Network Programming and Its Application
Project Year :
Learning and Evolution of Intelligent Systems Composed of Multi-individuals Interacting with Each Other
Project Year :
Project Year :
Study of Modeling and Intelligent Control of Complex Systems Using Learning Networks
Autonomous systems with explanatory internal models
Learning Networks with Structure Easy-to-Use
2010 平澤 宏太郎, 間普 真吾
有向グラフ遺伝子を持つ進化型計算によるデータマイニングに関する研究
2005 平澤 宏太郎
2005 平澤 宏太郎
2004 平澤 宏太郎
遺伝的ネットワークプログラミングを用いたデータマイニングに関する研究
2004 平澤 宏太郎
Graduate School of Information, Production and Systems
2022 spring semester
Graduate School of Information, Production and Systems
2022 spring semester
Neurocomputing Systems Research (Master's Thesis)
Graduate School of Information, Production and Systems
2022 full year
Neurocomputing Systems Research (Fall)
Graduate School of Information, Production and Systems
2022 fall semester
Neurocomputing Systems Research (Spring)
Graduate School of Information, Production and Systems
2022 spring semester
Graduate School of Information, Production and Systems
2022 fall semester
Graduate School of Information, Production and Systems
2022 fall semester
Neurocomputing Systems Research (Doctor's Thesis)
Graduate School of Information, Production and Systems
2022 full year
Neurocomputing Systems Research (Fall)
Graduate School of Information, Production and Systems
2022 fall semester
Neurocomputing Systems Research (Spring)
Graduate School of Information, Production and Systems
2022 spring semester
Citation count denotes the number of citations in papers published for a particular year.