Kyushu University Academic Staff Educational and Research Activities Database
List of Papers
Junichi Murata Last modified date:2019.04.18

Professor / Measurement and Control Engineering / Department of Electrical Engineering / Faculty of Information Science and Electrical Engineering


Papers
1. Fengji Luo, Zhao Yang Dong, Gaoqi Liang, Junichi Murata, Zhao Xu, A Distributed Electricity Trading System in Active Distribution Networks Based on Multi-Agent Coalition and Blockchain, IEEE Transactions on Power Systems, 10.1109/TPWRS.2018.2876612, 2018.10.
2. Ryohei Funaki, Kentaro Sugimoto, Junichi Murata, Estimation of Influence of Each Variable on User’s Evaluation in Interactive Evolutionary Computation, Proc. the 9th IEEE Int. Conf. on Awareness Science and Technology, 2018.09.
3. M.E.Jabian, R.Funaki, J. Murata, Load Shedding Optimization Considering Consumer Appliance Prioritization Using Genetic Algorithm for Real-Time Application, Proc. the 10th IFAC Symposium on Control of Power and Energy Systems, 2018.09.
4. Masaru Murakami, Ryohei Funaki, Junichi Murata, Design of Incentive-Based Demand Response Programs Using Inverse Optimization, Proc. of 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2754-2759, 2017.10.
5. Akinori Sugawara, Hirotaka Takano, Junichi Murata, Hisao Taoka, A Study on Service Restoration Problems Based on Two-Stage Stochastic Programming, Proc. of the International Conference on Electrical Engineering 2017, 484-489, 2017.07.
6. F. J. Luo, G. Ranzi, Z. Y. Dong, Junichi Murata, Natural aggregation approach based home energy management system with user satisfaction modelling, Proc. of International Conference on Sustainable Energy Engineering, ICSEE 2017, 2017.06.
7. Madihah binti Md Rasid, Junichi Murata, Hirotaka Takano, Fossil fuel cost saving maximization: Optimal allocation and sizing of Renewable-Energy Distributed Generation units considering uncertainty via Clonal Differential Evolution, Applied Thermal Engineering, 114, 1424-1432, 2017.03.
8. Kiyonori Kawamura, Tsutomu Doki, Yuuji Oono, Hirotaka Takano, Junichi Murata, A Study on Effective Demand Response Program in Electric Power System Based on Results of Demonstrative Field Test, Proc. of SICE Annual Conference 2016, 264-269, 2016.07.
9. Madihah Md Rasid, Junichi Murata, Hirotaka Takano, Optimal Allocation and Sizing of Renewable-Energy Distributed Generation Units for System Reliability Improvement and Benefit of Fuel Cost Saving Using Clonal Differential Evolution, Proc. of the International Conference on Electrical Engineering, 2016.07.
10. Hirotaka Takano, Yuya Nagaki, Junichi Murata, Tatsuya Iizaka, Naoto Ishibashi, Tohru Katsuno, A study on electric power management for power producer-suppliers utilizing output of megawatt-solar power plants, Journal of International Council on Electrical Engineering, 10.1080/22348972.2016.1173794, 6, 1, 102-109, 2016.05.
11. Danilo Vasconcellos Vargas, Junichi Murata, Spectrum-Diverse Neuroevolution With Unified Neural Models, IEEE Transactions on Neural Networks and Learning Systems, 10.1109/TNNLS.2016.2551748, PP, 99, 1-15, 2016.04.
12. 船木 亮平, Hirotaka Takano, Junichi Murata, Re-Labeling Differential Evolution for Combinatorial Optimization and Interactive Evolutionary Computation, SICE Journal of Control, Measurement, and System Integration, 9, 1, 18-27, 2016.01.
13. Madihah Md Rasid, Junichi Murata, Hirotaka Takano, DETERMINATION OF OPTIMAL SIZES AND LOCATIONS OF RENEWABLE DISTRIBUTED GENERATIONS CONSIDERING UNCERTAINTY BY DIFFERENTIAL EVOLUTION, Proc. of the 4th international conference on microgeneration and related technologies, 2015.10.
14. Madihah Md Rasid, Junichi Murata, Hirotaka Takano, Simultaneous Determination of Optimal Sizes and Locations of Distributed Generation Units by Differential Evolution, Proc. of 18th Conference on Intelligent Systems Applications to Power Systems (ISAP2015), 2015.09.
15. Ryohei Funaki, Hirotaka Takano, Junichi Murata, Tree Structure Based Differential Evolution for Optimization of Trees and Interactive Evolutionary Computation, Proceedings of SICE Annual Conference 2015, 430-435, 2015.07.
16. Ahmad Afif Mohd Faudzi, Junichi Murata, Policy Learning Using Modified Learning Vector Quantization for Reinforcement Learning Problems, Research Reports on Information Science and Electrical Engineering, Kyushu University, 20, 2, 2015.07.
17. Tree Structure-Based Differential Evolution.
18. Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata, The Relationship Between (Un)Fractured Problems and Division of Input Space, Genetic and Evolutionary Computation Conference 2015, 2015.07.
19. Hirotaka Takano, Yuya Nagaki, Junichi Murata, Tatsuya Iizaka, Naoto Ishibashi, Tohru Katsuno, A Study on Supply and Demand Planning for Power Producer-Suppliers Utilizing Output of Megawatt Solar Plants, Proc. of The International Conference on Electrical Engineering (ICEE) 2015 , 2015.07.
20. Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata, Novelty-Organizing Team of Classifiers in noisy and dynamic environments, 2015 IEEE Congress on Evolutionary Computation (CEC), 2937-2944, 2015.05.
21. Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata, Alexandre Cláudio Botazzo Delbem, General Subpopulation Framework and Taming the Conflict Inside Populations, Evolutionary Computation, 23, 1, 1-36, 2015.03.
22. Ahmad Afif Mohd Faudzi, Hirotaka Takano, Junichi Murata, A Study on Abstract Policy for Acceleration of Reinforcement Learning, Proceedings of SICE Annual Conference 2014, 1793-1798, 2014.09, Reinforcement learning (RL) is well known as one of the methods that can be applied to unknown problems. However, because optimization at every state requires trial-and-error, the learning time becomes large when environment has many states. If there exist solutions to similar problems and they are used during the exploration, some of trial-and-error can be spared and the learning can take a shorter time. In this paper, the authors propose to reuse an abstract policy, a representative of a solution constructed by learning vector quantization (LVQ) algorithm, to improve initial performance of an RL learner in a similar but different problem. Furthermore, it is investigated whether or not the policy can adapt to a new environment while preserving its performance in the old environments. Simulations show good result in terms of the learning acceleration and the adaptation of abstract policy..
23. Danilo Vasconcelos Vargas, Hirotaka Takano, Junichi Murata, Novelty-Organizing Team of Classifiers - a Team-Individual Multi-Objective Approach to Reinforcement Learning, Proceedings of SICE Annual Conference 2014, 1785-1792, 2014.09, In reinforcement learning, there are basically two spaces to search: value-function space and policy space. Consequently, there are two fitness functions each with their associated trade-offs. However, the problem is still perceived as a single-objective one. Here a multi-objective reinforcement learning algorithm is proposed with a structured novelty map population evolving feedforward neural models. It outperforms a gradient based continuous input-output state-of-art algorithm in two problems. Contrary to the gradient based algorithm, the proposed one solves both problems with the same parameters and smaller variance of results. Moreover, the results are comparable even with other discrete action algorithms of the literature as well as neuroevolution methods such as NEAT. The proposed method brings also the novelty map population concept, i.e., a novelty map-based population which is less sensitive to the input distribution and therefore more suitable to create the state space. In fact, the novelty map framework is shown to be less dynamic and more resource efficient than variants of the self-organizing map..
24. Hirofumi Oga, Hirotaka Takano, Junichi Murata, Tatsuya Iizaka, Akihiro Kabasawa, The Impact by Uncertainty of PVs Output on Service Restoration of Distribution Networks, Proc. 2014 Int. Conf. Electrical Engineering, 2014.07.
25. Yuya Nagaki, Hirotaka Takano, Junichi Murata, ZHANG PENG, Tatsuya Iizaka, Naoto Ishibashi, Tohru Katsuno, An Operation Plan of Controllable Generators for Profit Maximization that Copes with Uncertainty of Megawatt Solar Outputs, Proc. 2014 Int. Conf. Electrical Engineering, 2014.07.
26. Peng Zhang, Hirotaka Takano, Junichi Murata, Error Estimation of Solar Insolation Forecasts, Trans. of IEE Japan, B, 134, 4, 367-373, 2014.04.
27. Cuk Supriyadi Ali Nandar, Hirotaka Takano, Junichi Murata, Tadahiro Goda, Adaptive robust PSS to enhance stabilization of interconnected power systems with high renewable energy penetration, Renewable Energy, 63, 767-774, 2014.03.
28. Danilo V. Vargas, Hirotaka Takano, Junichi Murata, Self organizing classifiers: first steps in structured evolutionary machine learning, Evolutionary Intelligence, 6, 2, 57-72, 2013.10.
29. Kento Terashima, Hirotaka Takano, Junichi Murata, Acceleration of Reinforcement Learning with Incomplete Prior Information, Journal of Advanced Computational Intelligence and Intelligent Informatics, 17, 5, 721-730, 2013.09.
30. Hirotaka Takano, Junichi Murata, Yukino Maki, Makoto Yasuda, Improving the Search Ability of Tabu Search in the Distribution Network Reconfiguration Problem, Journal of Advanced Computational Intelligence and Intelligent Informatics, 17, 5, 681-689, 2013.09.
31. Danilo V. Vargas, Hirotaka Takano, Junichi Murata, Contingency Training, Proc. of SICE Annual Conference 2013, 2013.09.
32. Ahmad Afif Mohd Faudzi, Hirotaka Takano, Junichi Murata, A study on Visual Abstraction for Reinforcement Learning Problem Using Learning Vector Quantization, Proc. of SICE Annual Conference 2013, 2013.09.
33. Ryohei Funaki, Hirotaka Takano, Junichi Murata, Re-labeling Differential Evolution for Combinatorial Optimization, Proc. of SICE Annual Conference 2013, 2013.09.
34. M. A. S. Kamal, Masakazu Mukai, Junichi Murata, Taketoshi Kawabe, Influence of Eco-driving on Fuel Consumption of Vehicles in the Following Traffic, Journal of Automotive Engineering, 4, 3, 55-61, 2013.07.
35. Kento Terashima, Hirotaka Takano, Junichi Murata, Accelaration of Reinforcement Learning by Controlled Use of Options Given as Prior Information, SICE Journal of Control, Measurement, and System Integration JCMSI, 6, 4, 252-266, 2013.07.
36. Yasushi Tomita, Kenichi Kuwabara, Nobuhisa Kobayashi, Junichi Murata, Tadahiro Goda, Energy Efficient Demand Control for Air-Conditioning Systems, Proc. 2013 IEEE PES General Meeting, 2013.07.
37. Peng Zhang, Hirotaka Takano, Junichi Murata, Tatsuya Iizaka, Yosuke Nakanishi, Optimal Generation Schedule in Micro-Grids Considering the Possible Damage by Uncertainties of Forecasts, Research Reports on Information Science and Electrical Engineering of Kyushu University, 18, 2, 2013.07.
38. Peng Zhang, Hirotaka Takano, Junichi Murata, Wavelet-based Daily Solar Insolation Prediction and its Error Estimation , Proc. International Conference on Electrical Engineering, 2013, 2013.07.
39. Danilo V. Vargas, Hirotaka Takano, Junichi Murata, Self Organizing Classifiers and Niched Fitness, Proc. the Genetic and Evolutionary Computation Conference, GECCO'13, 1109-1116, 2013.07.
40. Cuk Supriyadi Ali Nandar, Hirotaka Takano, Junichi Murata, An Output Error Model and Robust PSS Design for Interconnected Power Systems, Proc. the 17th International Conference on Intelligent System Applications to Power Systems, 2013.07.
41. Peng Zhang, Hirotaka Takano, Junichi Murata, Tatsuya Iizaka, Yosuke Nakanishi, Optimal Generation Schedule of Micro-Grids Considering the Uncertainties of Forecasts, Proc. the 17th International Conference on Intelligent System Applications to Power Systems, 2013.07.
42. M. A. S. Kamal, Masakazu Mukai, Junichi Murata, Taketoshi Kawabe, Model Predictive Control of Vehicles on Urban Roads for Improved Fuel Economy, IEEE Trans. Control Systems Technology, 21, 3, 831-841, 2013.05.
43. Hirotaka Takano, Junichi Murata, Makoto Yasuda, Yukino Maki, A Study on Improvement of Tabu Search-based Determination Method for Distribution Network Configuration, Journal of International Council on Electrical Engineering, 3, 1, 61-67, 2013.03.
44. Takuya Etoh, Hirotaka Takano, Junichi Murata, Reinforcement learning approach to multi-stage decision making problems with changes in action sets, Artificial Life and Robotics, 17, 2, 293-299, 2012.11.
45. Fumitoshi Nomiyama, Joji Asai, Takuma Murakami, Hirotaka Takano, and Junich Murata, A Study on Global Solar Radiation Forecasting Models Using Meteorological Data and their Application to Wide Area Forecast, Proc. IEEE Powercon 2012, 2012.11.
46. CukSupriyadi A.N, H.Takano, J. Murata, T. Goda and T. Hashiguchi, Adaptive Frequency Control for Hybrid Wind-Diesel Power System using System Estimator, Proc. IEEE Powercon 2012, 2012.10.
47. Hirotaka Takano, Junichi Murata, Makoto Yasuda, Yukino Maki , A Study on Improvement of the Optimization Method for Distribution Network Configuration
, Proc. the International Conference on Electrical Engineering ICEE 2012, 1642-1647, 2012.07.
48. Cuk Supriyadi Ali Nandar, Hirotaka Takano, Junichi Murata, Tadahiro Goda, Takuhei Hashiguchi , An Adaptive Control Design for Power System Stabilizer Based on Reference Model, Proc. the International Conference on Electrical Engineering ICEE 2012 , 636-641, 2012.07.
49. Takuya Etoh, Hirotaka Takano, Junichi Murata, Reinforcement learning approach to multi-stage decision making problems with changes in action sets, Proc. of the 17th International Symposium on Artificial Life and Robotcis, 967-970, 2012.01.
50. Peng Zhang, Hirotaka Takano, Junichi Murata, Daily Solar Radiation Prediction based on Wavelet Analysis, Proc. of SICE Annual Conference 2011, 712-717, 2011.09.
51. Kento Terashima and Junichi Murata, A Study on Use of Prior Information for Acceleration of Reinforcement Learning, Proc. of SICE Annual Conference 2011, 537-543, 2011.09.
52. M.A.S. Kamal, Masakazu Mukai, Junichi Murata and Taketoshi Kawabe , Ecological Driving Based on Preceding Vehicle Prediction Using MPC
, Proc. of 18th IFAC World Congress, 2011.09.
53. M. A. S. Kamal, Masakazu Mukai, Junichi Murata and Taketoshi Kawabe, Ecological Vehicle Control on Roads With Up-Down Slopes, IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 12, 3, 783-794, 2011.09.
54. Fumitoshi Nomiyama, Joji Asai, Takuma Murakami and Junichi Murata, A Study on Global Solar Radiation Forecasting Using Weather Forecast Data, Proc. of IEEE MWSCAS 2011, 2011.08.
55. Fuminori Ogihara and Junichi Murata, A Method for Finding Multiple Subgoals for Reinforcement Learning, Proc. The Sixteenth International Symposium on Artificial Life and Robotics 2011, 804-807, 2011.01.
56. M. A. S. Kamal, M. Mukai, J. Murata and T. Kawabe, Ecological driver assistance system using model-based anticipation of vehicle-road-traffic information, Intelligent Transport Systems, 4, 4, 244-251, 2010.12.
57. M. A. S. Kamal, M. Mukai, J. Murata and T. Kawabe, On Board Eco-Driving System for Varying Road-Traffic Environments Using Model Predictive Control, Proc. of IEEE MSC2010, 1636-1641, 2010.09.
58. Junichi Murata, Masato Saruwatari and Satoshi Hashikawa, Multiple-Attribute Decision Making with Estimation of Preferences of Multiple Evaluators, Proceedings of the SICE Annual Conference 2010, 1466-1471, 2010.08.
59. M. A. S. Kamal, M. Mukai, J. Murata and T. Kawabe, Development of Ecological Driving System Using Model Based Prediction of Traffics and Information of Road Shapes, Proc. of World Automotive Congress, FISITA2010, 2010.05.
60. Junichi Murata and Kentaro Kitahara, Multiple-Attribute Decision Making with Interactive Estimation of User Preference, Proceedings of the 10th IASTED International Conference on Artificial Intelligence and Applications, 2010.02.
61. M. Mukai and Y. Harada and J. Murata and T. Kawabe and H. Nishira and Y. Deguchi, An Automotive Collision Avoidance Control based on a Feasible Set, Proceedings of the ICROS-SICE International Joint Conference 2009, 2164-2168, 2009.08.
62. M.A.S. Kamal, M. Mukai, J. Murata, T. Kawabe, Development of Ecological Driving Assist System - Model Predictive Approach in Vehicle Control
, Proceedings of The 16th World Congress and Exhibition on Intelligent Transport Systems and Services , 2009.09.
63. M.A.S.Kamal, M.Mukai, J.Murata and T.Kawabe, Development of Ecological Driving System Using Model Predictive Control
, Proceedings of the ICROS-SICE International Joint Conference 2009, 3549-3554, 2009.08.
64. M.A.S. Kamal and Junichi Murata, Reinforcement learning for problems with symmetrical restricted states, Robotics and Autonomous Systems, 56, 9, 717–727, 2008.09.
65. Masakazu Mukai, Junichi Murata, Taketoshi Kawabe, Hikaru Hishira, Yoshitaka Takagi and Yoshitaka Deguchi, Optimal Path Generation for Automotive Collision Avoidance Using Mixed Integer Programming, SICE Journal of Control, Measurement, and System Integration, Vol.1, No.3, 222-226, 2008.05.
66. M.A.S.Kamal, K.Kawabe, J.Murata and M.Mukai, Driver-adaptive assist system for avoiding abnormality in driving, Proc. 16th IEEE Int. Conf. on Control Applications, 2007.10.
67. M.A.S.Kamal and J.Murata, Coordination in multiagent reinforcement learning systems by virtual reinforcement signals, International Journal of Knowledge-based and Intelligent Engineering Systems, Vol.11, No.3, 181-191, 2007.05.
68. Junichi Murata, Yasuomi Abe, Keisuke Ota, Introduction and control of subgoals in reinforcement learning, Proc. of IASTED International Conference on Artificial Intelligence and Applications 2007, 2007.02.
69. M.A.S.Kamal, J.Murata and K.Hirasawa, Elevator Group Control Using Multiagent Task-Oriented Reinforcement Learning, 電気学会論文誌C, Vol.125, No.7, 1140-1146, 2005.07.
70. M.A.S.Kamal and J.Murata, Reinforcement Learning for High-Dimensional Problems with Symmetrical Actions, Proc. 2004 IEEE Int. Conf. on Systems Man, and Cybernetics, 6192-6197, 6192-6195, 2004.10.
71. Min-Kyu Shon and Junichi Murata, Behavior Learning of Autonomous Agents in Continuous State Using Function Approximation, Proc. Int. Conf. on Knowledge-Based Intelligent Information & Engineering Systems, 3213, 1213-1219, 1213-1219, 2004.09.
72. M.A.S.Kamal and J.Murata, Coordination in Multiagent Reinforcement Learning Systems, Proc. Int. Conf. on Knowledge-Based Intelligent Information & Engineering Systems, 3213, 1197-1204, 1198-1204, 2004.09.
73. Baiquan Lu, Junichi Murata, Kotaro Hirasawa and Hong Gu, A New Learning Method Using Local and Global Information for Neural Networks, 九州大学システム情報科学紀要, Vol.9, No.2, 55-60, 2004.03.
74. M.A.S.Kamal, J.Murata and K.Hirasawa, Task-Oriented Reinforcement Learning for Continuing Task in Dynamic Environment, 九州大学システム情報科学紀要, Vol.9, No.1, 7-12, 2004.03.
75. "The Basic Study of Artificial Ecosystem Models Using Network-type Assembly-like Language", Y.Shiraishi, K.Hirasawa, T.Furutsuki, J.Murata, Trans. of the Institute of Electrical Engineers of Japan, Vol.124-C, No.2, 418-424, February 2004..
76. "Probabilistic Universal Learning Network Theory", K.Hirasawa,M.Ohbayashi, J.Murata, J.Hu, Trans. of the Institute of Electrical Engineers of Japan, Vol.C-118, No.2, 224-230, February 1998..
77. Y.Eki, K.Hirasawa, J.Murata, J.Hu, Feed-forward Control of Thermal Power Plants Using Neural Networks, Research Reports on Information Science and Electrical Engineering of Kyushu University, Vol.3, No.1, 13-21, 1998.03.
78. "Probability and Possibility Automaton Learning Network", K.Hirasawa, M.Harada, M.Ohbayashi, J.Murata, J.Hu, Trans. of the Institute of Electrical Engineers of Japan, Vol.D-118, No.3, 291-299, March 1998..
79. K.Hirasawa, J.Hu, M.Ohbayashi, J.Murata, Computing Higher Order Derivatives in Universal Learning Networks, J. of Advanced Computational Intelligence, Vol.2, No.2, 47-53, 1998.04.
80. J.Murata, T.Noda, K.Hirasawa, Artificial Neural Networks with Input Gates, Proc. of 1998 Int. Joint Conf. Neural Networks, 480-485, 480-485, 1998.06.
81. M.Ohbayashi, K.Hirasawa, T.Toshimitsu, J.Murata, J.Hu, Robust Control for Nonlinear Systems by Universal Learning Network Considering Fuzzy Criteria and Second Order Derivatives, Proc. of 1998 Int. Joint Conf. Neural Networks, 968-973, 1998.06.
82. K.Hirasawa, J.Misawa, J.Murata, M.Ohbayashi, J.Hu, Clustering Control of Chaos Universal Learning Network, Proc. of 1998 Int. Joint Conf. Neural Networks, 1482-1487, 1482-1487, 1998.06.
83. K.Hirasawa, K.Togo, J.Murata, M.Ohbayashi, N.Shao, J.Hu, A New Random Search Method for Neural Networks Learning - Random Search with Variable Search Length (RasVal) -, Proc. of 1998 Int. Joint Conf. Neural Networks, 1602-1607, 1602-1607, 1998.06.
84. J.Hu, J.Murata, Y.Eki, K.Hirasawa, M.Ohbayashi, A New Random Search Method for Neural Network Learning -RasID-, Proc. of 1998 Int. Joint Conf. Neural Networks, 2346-2351, 2346-2351, 1998.06.
85. J.Hu, K.Hirasawa, J.Murata, M.Ohbayashi, Adaptive Control of Nonlinear Black-Box Systems Based on Universal Learning Networks, Proc. of 1998 Int. Joint Conf. Neural Networks, 2453-2458, 2453-2458, 1998.06.
86. J.Hu, K.Hirasawa, J.Murata, M.Ohbayashi, Identification of Nonlinear Black-Box Systems Based on Universal Learning Networks, Proc. of 1998 Int. Joint Conf. Neural Networks, 2465-2470, 2465-2470, 1998.06.
87. K.Hirasawa, K.Togo, M.Ohbayashi, J.Hu, J.Murata, Training Neural Networks Based on Random Searching Scheme, Proc. of Int. Conf. Artificial Intelligence for Engineering, 298-302, 1998.06.
88. "Neural Network Structure Design Using Genetic Algorithms", J.Murata, N.Nakamura, K.Hirasawa, K.Tanaka, M.Sasaki, Trans. of the Institute of Electrical Engineers of Japan, Vol.C-118, No.7/8, 1114-1121, July 1998..
89. J.Hu, J.Murata, K.Hirasawa, RasID - Random Search for Neural Networks Training, J. Advanced Computational Intelligence, Vol.2, No.4, 134-141, 1998.08.
90. K.Hirasawa, J.Hu, M.Ohbayashi, J.Misawa, J.Murata, Y.Eki, Clustering Control of Chaos Universal Learning Network, J. Robotics and Mechatronics, Vol.10, No.4, 305-310, 1998.08.
91. "A New Adaptive Random Search Method in Neural Networks -RasID-", K.Hirasawa, K.Togo, J.Hu, M.Ohbayashi, N.Shao, J.Murata, Trans. of Society of Instrument and Control Engineers, Vol34, No8, 1088-1096, August 1998..
92. "Heuristic Optimization Using Long, Medium, and Short Term Momories", J.Murata, T.Fuchigami, K.Hirasawa, Trans. of the Institute of Electrical Engineers of Japan, Vol.C-118, No.9, 1315-1321, September 1998..
93. "Robust Control for Universal Learning Network Considering Fuzzy Criterion and Second Order Derivatives", M.Ohbayashi, K.Hirasawa, K.Toshimitsu,J.Murata, J.Hu, Trans. of Society of Instrument and Control Engineers, Vol34, No9, 1246-1254, September 1998..
94. K.Hirasawa, J.Hu, J.Murata, C.Jin, Probabilistic Universal Learning Networks and their Applications to Nonlinear Control Systems, Research Reports on Information Science and Electrical Engineering of Kyushu University, Vol.3, No.2, 149-158, 1998.09.
95. K.Hirasawa, J.Hu, J.Murata, C.Jin, A New Control Method of Nonlinear Systems Based on Impulse Responses of Universal Learning Networks, Research Reports on Information Science and Electrical Engineering of Kyushu University, Vol.3, No.2, 159-172, 1998.09.
96. "Input Variable Selection for Multi-Layer Neural Networks", J.Murata, T.Nakazono, K.Hirasawa, Research Reports on Conputer Science and Electrical Engineering of Kyushu University, Vol3, No2, 219-224, September 1998..
97. "Learning Method of Parameters for Fuzzy Rules in Universal Learning Network", M.Ikeuchi, K.Hirasawa, M.Ohbayashi, J.Hu, J.Murata, Research Reports on Conputer Science and Electrical Engineering of Kyushu University, Vol.3, No2, 225-232, September 1998..
98. J.Hu, J.Murata, K.Hirasawa, M.Ohbayashi, A Computation Scheme for Higher Order Derivatives in Universal Learning Networks, Proc. of IEEE Int. Conf. Intelligent Engineering Systems, 349-354, 1998.09.
99. K.Hirasawa, J.Murata, X.Wan, J.Hu, Chaos Control Using Maximum Lyapunov Number of Universal Learning Network, Proc. of 1998 IEEE Int. Conf. Systems, Man, and Cybernetics, 1702-1707, 1702-1707, 1998.10.
100. M.Han, J.Hu, K.Hirasawa, J.Murata, Generalization Ability of Universal Learning Network by Using Second Order Derivatives, Proc. of 1998 IEEE Int. Conf. Systems, Man, and Cybernetics, 1818-1823, 1818-1823, 1998.10.
101. K.Hirasawa, M.Hashimoto, J.Murata, M.Ohbayashi, J.Hu, A New Nonlinear System Control Method Using Second Order Derivatives of Universal Learning Network, Proc. of 1998 IEEE Int. Conf. Systems, Man, and Cybernetics, 3775-3780, 3775-3780, 1998.10.
102. B.Lu, K.Hirasawa, J.Murata, J.Hu, A New Learning Method Using Prior Information of Neural Networks, Proc. of the 4th International symposium on Artificial Life and Robotices, 694-698, 1999.01.
103. K.Hirasawa, X.Wan, J.Hu, J.Murata, Chaos Control Using Universal Learning Network, Research Reports on Information Science and Electrical Engineering of Kyushu University, Vol.4, No.1, 12-27, 1999.03.
104. B.Lu, K.Hirasawa, J.Murata, J.Hu, A New Learning Method Using Prior Information of Neural Networks, Research Reports on Information Science and Electrical Engineering of Kyushu University, Vol.4, No.1, 29-35, 1999.03.
105. "Optimization of Decentralized Control System Using Nash Equilibrium Concept", K.Hirasawa, Y.Yamamoto, J.Hu, J.Murata, C.Z.Jin, Trans. of the Institute of Electrical Engineers of Japan, Vol.C-119, No.4, 467-473, April 1999..
106. M.Han, K.Hirasawa, J.Hu, J.Murata, Generalization Ability of Dynamic Systems by Using Second Order Derivatives of Universal Learning Network, Trans. of Institute of Electrical Engineers of Japan, Vol.119-C, No.5, 567-574, 1999.05.
107. J.Murata, S.Itoh, K.Hirasawa, Size-Reducing RBF Networks, Proc. 1999 Int. Joint Conf. Neural Networks, 1999.07.
108. K.Hirasawa, J.Hu, J.Murata, C.Z.Jin, K.Yotsumoto, H.Katagiri, Identification of Nonlinear Dynamic Systems by Using Probabilistic Universal Learning Networks, Proc. 1999 Int. Joint Conf. Neural Networks, 1999.07.
109. K.Hirasawa, J.Hu, J.Murata, C.Z.Jin, H.Eto, H.Katagiri, Universal Learning Networks with Varying Parameters, Proc. 1999 Int. Joint Conf. Neural Networks, 1999.07.
110. J.Murata, T.Nakazono, K.Hirasawa, Neural Networks with Node Gates, Proc. 1999 Int. Conf. Electrical Engineering, 358-361, 1999.08.
111. "Genetic Symbiosis Algorithm", K.Hirasawa, Y.Ishikawa, J.Hu, J.Murata, Trans. of Society of Instrument and Control Engineers, Vol35, No9, 1198-1206, September 1999..
112. K Hirasawa, J.Hu, Q.Xiong, J.Murata, Universal Learning Networks with Branch Control, Research Reports on Information Science and Electrical Engineering of Kyushu University, Vol.4, No.2, 125-131, 1999.09.
113. Y.Dai, K.Hirasawa, J.Murata, J.Hu, C.Z.Jin, Use of Pseudo Measurement to Real-time Target Tracking, Proc. 1999 IEEE Int. Conf. Systems, Man, and Cybernetics, 33-38, 1999.10.
114. B.Lu, K.Hirasawa, J.Murata, J.Hu, C.Z.Jin, A New Method Based on Determining Error Surface for Designing Three Layer Neural Networks, Proc. 1999 IEEE Int. Conf. Systems, Man, and Cybernetics, 384-389, 1999.10.
115. C.Z.Jin, K.Hirasawa, J.Murata, J.Hu, Control of Nonlinear Mechatronics Systems by Universal Learning Networks, Proc. 1999 IEEE Int. Conf. Systems, Man, and Cybernetics, 1999.10.
116. Y.Yu, K.Hirasawa, J.Hu, J.Murata, Analysis of Robust Control Using Stability Theory of Universal Learning Networks, Proc. 1999 IEEE Int. Conf. Systems, Man, and Cybernetics, 1999.10.
117. M.Han, K.Hirasawa, J.Hu, J.Murata, C.Z.Jin, Improving Generalization Ability of Universal Learning Networks with Superfluous Parameters, Proc. 1999 IEEE Int. Conf. Systems, Man, and Cybernetics, 1999.10.
118. "Lotka-Volterra Systems under Consideration of Fuzzy Symbiosis and Learning", N.Kusumi, K.Hirasawa, J.Hu, J.Murata, Trans. of the Institute of Electrical Engineers of Japan, Vol.C-118, No.11, 1405-1413, November 1999..
119. C.Z.Jin, K.Hirasawa, J.Murata, J.Hu, Propagation of Stochastic Signals in Probabilistic Universal Learning Networks and Validation of Its Calculation Method, Proc. of Fifth Int. Symp, Artificial Life and Robotics, 753-756, 2000.01.
120. B.Lu, K.Hirasawa and J.Murata, A New Method to Improve Generalization Ability of Neural Networks, Proc. 5th Int. Symp. Artificial Life and Robotics, 842-845, 2000.01.
121. B.Lu, J.Murata, K.Hirasawa and J.Hu, A New Learning Method Using Prior Information of Neural Networks, Trans. Society of Instrument and Control Engineers, Vol.36, No.1, 98-107, 2000.01.
122. K.Hirasawa, J.Murata, J.Hu and C.Z.Jin, Chaos Control on Universal Learning Networks, IEEE Trans. Systems, Man, and Cybernetics, 10.1109/5326.827458, 30, 1, 95-104, Part C, Vol.30, No.1, 95-104, 2000.02.
123. "A Multiple-Step Predictive Control Algorithm Using Neural Networks", Y.Eki, J.Murata, K.Hirasawa, Trans. of the Institute of Electrical Engineers of Japan, Vol.C-118, No.2, 222-228, February 2000..
124. K.Hirasawa, X.F.Wang, J.Murata, J.Hu and C.Z.Jin, Universal Learning Network and Its Application to Chaos Control, Neural Networks, 10.1016/S0893-6080(99)00100-8, 13, 2, 239-253, Vol.13, No.2, 239-253, 2000.03.
125. H.Chen, K.Hirasawa, J.Hu, J.Murata, Minimax Control of Nonlinear Systems Using Universal Learning Networtks, Research Reports on Information Science and Electrical Engineering of Kyushu University, Vol.5, No.1, 51-56, 2000.03.
126. K.Hirasawa, J.Hu, J.Misawa, J.Murata and H.Katagiri, RasID Training of Multi Agent Systems with Fuzzy Inference-Based Mutual Interactions, Machine Intelligence and Robotic Control, Vol.2, No.1, 17-25, 2000.01.
127. K.Hirasawa, J.Murata, J.Hu and C.Z.Jin, Universal Learning Network and Its Application to Robust Control, IEEE Trans. Systems, Man, and Cybernetics, 10.1109/3477.846231, 30, 3, 419-430, Vol.30, No.3, 419-430, 2000.06.
128. B.Lu, J.Murata and K.Hirasawa, A New Method Based on Determination of Error Surface for Designing Three Layer Neural Networks, Trans. Society of Instrument and Control Engineers, Vol.36, No.7, 589-598, 2000.07.
129. M.Shon, J.Murata and K.Hirasawa, Behavior Learning of Autonomous Robots by Modified Learning Vector Quantization (LVQ), Proc. 3rd Asian Control Conf., 1354-1359, 2000.07.
130. Y.Yu, K.Hirasawa, J.Hu and J.Murata, Stability Analysis of Inverted Pendulum Control by Using Universal Learning Networks, Proc. 3rd Asian Control Conf., 2147-2152, 2000.07.
131. H.Chen, andK.Hirasawa, J.Hu and J.Murata, Min Max Control of Nonlinear Systems Using Universal Learning Network, Proc. IEEE Int. Joint Conf. Neural Networks, 242-247, 242-247, 2000.07.
132. K.Hirasawa, J.Hu, Q.Xiong, J.Murata and Y.Shiraishi, Universal Learning Networks with Branch Control, Proc. IEEE Int. Joint Conf. Neural Networks, 97-102, 97-102, 2000.07.
133. Y.Yu, K.Hirasawa, J.Hu and J.Murata, Stability Evaluation of Inverted Pendulum Control by Using Universal Learning Networks, Proc. Int. Conf. Electrical Engineering 2000, 287-290, 2000.07.
134. Y.Yu, K.Hirasawa, J.Hu and J.Murata, Stability Analysis using Higher Order Derivatives of Universal Learning Networks, Research Reports on Information Science and Electrical Engineering of Kyushu University, Vol.5, No.2, 193-207, 2000.09.
135. "Neural Networks with Node Gates and its Application to Nonlinear System Control", J. Murata, T. Kakihara, M. Fujimoto, K. Hirasawa, Research Reports on Conputer Science and Electrical Engineering of Kyushu University, Vol5, No2, 242-248, September 2000..
136. K.Hirasawa, J.Misawa, J.Hu, H.Katagiri and J.Murata, RasID Training of Multi Agent Systems with Fuzzy Inference-Based Mutual Interactions, Proc. 6th Int. Conf. Simulation of Adaptive Behavior, 275-284, 2000.09.
137. Q.Xiong, K.Hirasawa, J.Hu and J.Murata, Growing RBF Structures Using Self-organizing Maps, Proc. 9th IEEE Int. Workshop Robot and Human Interactive Communication, 107-111, 107-111, 2000.09.
138. J.Mao, K.Hirasawa, J.Hu and J.Murata, Genetic Symbiosis Algorithm for Multiobjective Optimization Problem, Proc. 9th IEEE Int. Workshop Robot and Human Interactive Communication, 137-142, 137-142, 2000.09.
139. H.M.Myint, J.Murata, T.Nakazono and K.Hirasawa, Neural Networks with Node Gates, Proc. 9th IEEE Int. Workshop Robot and Human Interactive Communication, 253-257, 253-257, 2000.09.
140. B.Lu, K.Hirasawa and J.Murata, A New Learning Method Using Prior Information of Neural Networks, Artificial Life and Robotics, Vol.4, 78-83, 2000.10.
141. Y.Shiraishi, K.Hirasawa, J.Hu and J.Murata, Self-organization in Probabilistic Neural Networks, Proc. 2000 IEEE Int. Conf. Systems, Man, and Cybernetics, 2533-2538, 2533-2538, 2000.10.
142. W.Wan, K.Hirasawa, J.Murata, J.Hu and C.Z.Jin, Determination of the Appropriate Node Function of NNs by Using the Cascade-Correlation Algorithms, Proc. 26th Annual Conf. IEEE Industrial Electronics Society, 1177-1182, 1177-1182, 2000.10.
143. "Probabilistic Universal Learning Network and Its Application to a Nonlinear Control System", C.Z.Jin, K.Hirasawa, J.Hu, J.Murata and T.Matsuoka, Trans. of Information Processing Society of Japan, Vol41, Sgi.7, 64-78, November 2000..
144. Y.Yu, K.Hirasawa, J.Hu and J.Murata, Stability Analysis of Robust Control Using Higher Order Derivatives of Universal Learning Networks, Machine Intelligence & Robotic Control, Vol.2, No.3, 117-127, 2000.12.
145. "Universal Learning Networks with Varying Parameters Considering Branch Control", K.Hirasawa, H.Eto, J.Hu, J.Murata and Q.Xiong, Trans. of the Institute of Electrical Engineers of Japan, Vol.C-121, No.1, 98-105, January 2001..
146. "Neural Networks with Input Gates", J.Murata, Trans. of the Institute of Electrical Engineers of Japan, Vol.C-121, No.1, 127-133, January 2001.
147. "Self-organization in Probabilistic Neural Networks", Y.Shiraishi, K.Hirasawa, J.Hu, J.Murata, Trans. of the Institute of Electrical Engineers of Japan, Vol.C-121, No.1, 187-195, January 2001.
148. Q.Xiong, K.Hirasawa, J.Hu and J.Murata, Study of Universal Learning Network with Branch Control, Proc. 6th Int. Symp. Artificial Life and Robotics, 470-473, 2001.01.
149. H.Chen, K.Hirasawa, J.Hu and J.Murata, A New Method for Designing Robust Neural Network Controller, Proc. 6th Int. Symp. Artificial Life and Robotics, 504-507, 2001.01.
150. W.Wan, K.Hirasawa, J.Murata and J.Hu, Function of General Regularization Term : Case Study on Two-Spiral Classification Problem, Proc. 6th Int. Symp. Artificial Life and Robotics, 516-519, 2001.01.
151. M.K.Shon, J.Murata and K.Hirasawa, Function approximation using LVQ and fuzzy set, Proc. 6th Int. Symp. Artificial Life and Robotics, 520-523, 2001.01.
152. K.Hirasawa, M.Okubo, J.Hu and J.Murata, Comparison between Genetic Network Programming (GNP) and Genetic Programming (GP), Proc. 2001 IEEE Cong. Evolutionary Computation, 1276-1282, 1276-1282, 2001.05.
153. K.Hirasawa, J.Hu, J.Murata and C.Jin, A New Control Method of Nonlinear Systems Based on Impulse Responses of Universal Learning Networks, IEEE Trans. on Systems, Man, and Cybernetics, Part B:Cybernetics, 10.1109/3477.931521, 31, 3, 362-372, Vol.31, No.3, 362-372, 2001.06.
154. "Comparison between Genetic Network Programming and Genetic Programming using evolution of ant's behaviors", K.Hirasawa, M.Okubo, H.Katagiri, J.Hu, J.Murata, Trans. of the Institute of Electrical Engineers of Japan, Vol.C-121, No.6, 1001-1009, June 2001.
155. "Modeling of Mutual Interaction of Complicated Systems by Spatial Distribution Universal Learning Networks", N.Kusumi, K.Hirasawa, J.Hu, J.Murata, Trans. of Society of Instrument and Control Engineers, Vol37, No7, 657-664, July 2001..
156. D.Li, K.Hirasawa, J.Hu and J.Murata, Universal Learning Networks with Multiplication Neurons and Its Representation Ability, Proc. Int. Joint Conf. Neural Networks, 150-155, 150-155, 2001.07.
157. H.Chen, K.Hirasawa, J.Hu and J.Murata, A New Robust Neural Network Controller Designing Method for Nonlinear Systems, Proc. Int. Joint Conf. Neural Networks, 497-502, 497-502, 2001.07.
158. S.Kim, K.Hirasawa, J.Hu and J.Murata, Improvement of Generalization Ability for Identifying Dynamic Systems by Using Universal Learning Networks, Proc. Int. Joint Conf. Neural Networks, 1203-1208, 1203-1208, 2001.07.
159. K.Hirasawa, Y.Yu, J.Hu and J.Murata, Stability Analysis of Nonlinear Systems Using High Order Derivatives of Universal Learning Networks, Proc. Int. Joint Conf. Neural Networks, 1273-1278, 1273-1278, 2001.07.
160. W.Wan, K.Hirasawa, J.Hu and J.Murata, Enhancing the Generalization Ability of Neural Networks by Using Gram-Schmidt Orthogonalization Algorithm, Proc. Int. Joint Conf. Neural Networks, 1721-1726, 1721-1726, 2001.07.
161. W.Wan, K.Hirasawa, J.Hu and J.Murata, Relation between Weight Initialization of Neural Networks and Pruning Algorithms: Case Study on Mackey-Glass Time Series, Proc. Int. Joint Conf. Neural Networks, 1750-1755, 1750-1755, 2001.07.
162. Q.Xiong, K.Hirasawa, J.Hu and J.Murata, A Study of Functions Distribution of Neural Networks, Proc. Int. Joint Conf. Neural Networks, 2361-2366, 2361-2366, 2001.07.
163. H.Katagiri, K.Hirasawa, J.Hu and J.Murata, Network Structure Oriented Evolutionary Model-Genetic Network Programming-and Its Comparison with Genetic Programming, 2001 Genetic and Evolutionary Computation Conf. Late Breaking Papers, 219-226, 2001.07.
164. J.Mao, K.Hirasawa, J.Hu and J.Murata, Genetic Symbiosis Algorithm for Multiobjective Optimization Problems, 2001 Genetic and Evolutionary Computation Conf. Late Breaking Papers, 267-274, 2001.07.
165. J.Mao, K.Hirasawa, J.Hu and J.Murata, Genetic Symbiosis Algorithm for Multiobjective Optimization Problems, Trans. of Society of Instrument and Control Engineers, Vol.37, No.9, 893-901, 2001.09.
166. H.Chen, K.Hrasawa, J.Hu and J.Murata, A New Minimax Control Method for Nonlinear Systems Using Universal Learning Networks, Trans. of Institute of Electrical Engineers of Japan, Vol.121-C, No.9, 1471-1478, 2001.09.
167. Q.Xiong, K.Hirasawa, J.Hu and J.Murata, A Study of Brain-like Neural Network Model, Proc. 5th Int. Conf. Knowledge-based Intelligent Information Engineering System & Allied Technologies, 69, 303-307, 303-307, 2001.09.
168. M.K.Shon, J.Murata and K.Hirasawa, Function Approximation Using LVQ and Fuzzy Sets, Proc. 5th Int. Conf. Knowledge-based Intelligent Information Engineering System & Allied Technologies, 69, 829-833, 829-833, 2001.09.
169. M.K.Shon, J.Murata and K.Hirasawa, Function Approximation Using LVQ and Fuzzy Sets, Proc. 2001 IEEE Int. Conf. Systems, Man and Cybernetics, 1442-1447, 1442-1447, 2001.10.
170. Q.Xiong, K.Hirasawa, J.Hu and J.Murata, Comparative Study between Functions Distributed Network and Ordinary Neural Network, Proc. 2001 IEEE Int. Conf. Systems, Man and Cybernetics, 1548-1553, 1548-1553, 2001.10.
171. K.Hirasawa, S.Kim, J.Hu, J.Murata, M.Han and C.Jin, Improvement of Generalization Ability for Identifying Dynamic Systems by Using Universal Learning Networks, Neural Networks, 10.1016/S0893-6080(01)00117-4, 14, 10, 1389-1404, Vol.14, No.10, 1389-1404, 2001.12.
172. K.Hirasawa, J.Hu, J.Murata and J.Mao, Genetic Symbiosis Algorithm, Machine Intelligence and Robotic Control, Vol.3, No.1, 24-34, 2001.01.
173. "Nonlinear Control Method based on Impulse Response of Universal Learning Networks", K.Hirasawa, M.Hashimoto, J.Hu, J.Murata, C-Z.Jin, Trans. of the Institute of Electrical Engineers of Japan, Vol.C-122, No.1, 105-115, January 2002.
174. "A Non-linear GPC Algorithm Using Neural Networks", Y.Eki, J.Murata and K.Hirasawa, Trans. of the Institute of Electrical Engineers of Japan, Vol.C-122, No.2, 265-269, February 2002.
175. "Online Learning of Genetic Network Programming", S.Mabu, K.Hirasawa, J.Hu and J.Murata, Trans. of the Institute of Electrical Engineers of Japan, Vol.C-122, No.3, 355-362, March 2002.
176. W.Wan, K.Hirasawa, J.Hu and J.Murata, Enhancing the generalization ability of backpropagation algorithm through controlling the outputs of the hidden layers, Trans. of Society of Instrument and Control Engineers, Vol.38, No.4, 411-419, 2002.04.
177. H.Katagiri, K.Hirasawa, J.Hu, J.Murata and M.Kosaka, Network Structure Oriented Evolutionary Model:Genetic Network Programming - Its Comparison with Genetic Programming -, Trans. of Society of Instrument and Control Engineers, Vol.38, No.5, 486-494, 2002.05.
178. J.Murata, M.Suzuki and K.Hirasawa, Networks with Input Gates for Situation-Dependent Input Selection in Reinforcement Learning, Proc. Int. Joint Conf. on Neural Networks, 10.1109/IJCNN.2002.1005433, 5-10, 5-10, 2002.05.
179. K.Shibuta, K.Hirasawa, J.Hu and J.Murata, Auto Correlation Associative Memory by Universal Learning Networks (ULNs), Proc. SICE Annual Conf. 2002, 753-758, 793-798, 2002.08.
180. T.Yamashita, K.Hirasawa, J.Hu and J.Murata, Multi-branch Structure of Layered Neural Networks, Proc. SICE Annual Conf. 2002, 759-764, 799-804, 2002.08.
181. M.A.S.Kamal, J.Murata and K.Hirasawa, Task-Oriented Reinforcement Learning for Continuous Tasks in Dynamic Environment, Proc. SICE Annual Conf. 2002, 829-832, 932-935, 2002.08.
182. Y.Matsuya, K.Hirasawa, J.Hu and Junichi Murata, Automatic Generation of Programs using Genetic Network Programming, Proc. SICE Annual Conf. 2002, 1269-1274, 942-947, 2002.08.
183. D.Li, K.Hirasawa, J.Hu and J.Murata, Studying the Effects of Multiplication Neurons for Parity Problem, Proc. SICE Annual Conf. 2002, 2678-2681, 2888-2891, 2002.08.
184. Q.Xiong, K.Hirasawa, J.Hu, J.Murata and D.Li, Universal Learning Networks with Branch Control, Trans. of Institute of Electrical Engineers of Japan, Vol.122-C, No.10, 1812-1820, 2002.10.
185. "Neural Networks with Input Gates and Their Applications to Behavior Learning of Agents", J.Murata, M.Suzuki, K.Hirasawa, Trans. of the Institute of Electrical Engineers of Japan, Vol.C-122, No.11, 1969-1975, November 2002.
186. "Genetic Network Programming and Its Applications to the Multiagent Systems", H.Katagiri, K.Hirasawa, J.Hu, J.Murata, Trans. of the Institute of Electrical Engineers of Japan, Vol.C-122, No.12, 2149-2156, December 2002.
187. "Variable Size Genetic Network Programming", H.Katagiri, K.Hirasawa, J.Hu, J.Murata, Trans. of the Institute of Electrical Engineers of Japan, Vol.C-123, No.1, 57-66, January 2003.
188. M.K.Shon, J.Murata, K.Hirasawa, Behavior Learning of Autonomous Agents in Continuous State, Proc. 8th Int. Symp. on Artificial Life and Robotics, 349-352, 2003.01.
189. M.A.S.Kamal, J.Murata, K.Hirasawa, Task-Oriented Multiagent Reinforcement Learning Control for a Real Time High-Dimensional Proglem, Proc. 8th Int. Symp. on Artificial Life and Robotics, 353-356, 2003.01.
190. Y.Shiraishi, K.Hirasawa, J.Hu, J.Murata, 2D Artificial Life System Using Network-Type Assembly-Like Language: A Comparative Study with Linear-Type Assembly-Like Language, Proc. 8th Int. Symp. on Artificial Life and Robotics, 669-672, 2003.01.
191. "Size-Reducing RBF Network and Its Application to Control Systems", S.Ito, J.Murata, K.Hirasawa, Trans. of the Institute of Electrical Engineers of Japan, Vol.C-123, No.2, 338-344, February 2003.
192. "Multi Agent Systems with Symbiotic Learning and Evolution using GNP", T.Eguchi, K.Hirasawa, J.Hu, J.Murata, Trans. of the Institute of Electrical Engineers of Japan, Vol.C-123, No.3, 517-526, March 2003.
193. "Co-evolution of Hetero Multiagent Systems using Genetic Network Programming", K.Hirasawa, M.Okubo, J.Hu, J.Murata, Y.Matuya, Trans. of the Institute of Electrical Engineers of Japan, Vol.C-123, No.3, 544-551, March 2003.
194. M.K.Shon, J.Murata, K.Hirasawa, Function Approximation Using LVQ, Trans. of Society of Instrument and Control Engineers, Vol.39, No.5, 513-519, 2003.05.
195. "Neural Network with Node Gates which Devide and Conquer Problems Based on Local Difficulties"J.Murata, Y.Kajiwara, K.Hirasawa, Trans. of Society of Instrument and Control Engineers, Vol.39, No.9, 841-847, September 2003..
196. J.Mao, K.Hirasawa, J.Hu and J.Murata, Increasing Robustness of Binary-coded Genetic Algorithm, Trans. of Institute of Electrical Engineers of Japan, Vol.123-C, No.9, 1625-1630, 2003.09.