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Kotaro Hirasawa: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Shigeo Abe, R. Hiraoka, Y. Fukunaga, Tadaaki Bandoh, Kotaro Hirasawa, Yukio Kawamoto
    Preliminary Performance Evaluation of Data Flow Computers. [Citation Graph (0, 0)][DBLP]
    COMPCON, 1982, pp:224-227 [Conf]
  2. Yasushi Fukunaga, Tadaaki Bandoh, Kotaro Hirasawa, Tetsuya Kawakami, Takeshi Kato, Jushi Ide Hitachi
    Performance Analysis of Bus Structure in a Multiprocessor System. [Citation Graph (0, 0)][DBLP]
    COMPCON, 1982, pp:98-104 [Conf]
  3. Ahmed Hussein, Kotaro Hirasawa, Jinglu Hu
    Online Identification and Control of a PV-Supplied DC Motor Using Universal Learning Networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 2003, pp:173-178 [Conf]
  4. Toru Eguchi, Kotaro Hirasawa, Jinglu Hu, Junichi Murata
    Multiagent Systems with Symbiotic Learning and Evolution Using Genetic Network Programming. [Citation Graph (0, 0)][DBLP]
    GECCO Late Breaking Papers, 2002, pp:130-137 [Conf]
  5. Hironobu Katagiri, Kotaro Hirasawa, Jinglu Hu, Junichi Murata
    A New Model To Realize Variable Size Genetic Network Programming. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:890- [Conf]
  6. Hironobu Katagiri, Kotaro Hirasawa, Jinglu Hu, Junichi Murata
    A New Model to Realize Variable Size Genetic Network Programming - A Case Study with the Tileworld Problem. [Citation Graph (0, 0)][DBLP]
    GECCO Late Breaking Papers, 2002, pp:279-286 [Conf]
  7. Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
    Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation. [Citation Graph (0, 0)][DBLP]
    GECCO (2), 2004, pp:710-711 [Conf]
  8. Jiangming Mao, Kotaro Hirasawa, Jinglu Hu, Junichi Murata
    Increasing Robustness Of Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:456-462 [Conf]
  9. Yuhki Shiraishi, Kotaro Hirasawa, Jinglu Hu, Junichi Murata
    The Basic Study of Artificial Ecosystem Models Using Network-Type Assembly-Like Language. [Citation Graph (0, 0)][DBLP]
    GECCO Late Breaking Papers, 2002, pp:412-418 [Conf]
  10. Jinglu Hu, Kotaro Hirasawa
    A Hierarchical Method for Training Embedded Sigmoidal Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:937-942 [Conf]
  11. Goro Suzuki, Tetsuya Yamamoto, Kyoji Yuyama, Kotaro Hirasawa
    MOSAIC: a tile-based datapath layout generator. [Citation Graph (0, 0)][DBLP]
    ICCAD, 1992, pp:166-170 [Conf]
  12. Hongping Chen, Kotaro Hirasawa, Jinglu Hu, Junichi Murata
    Min Max Control of Nonlinear Systems Using Universal Learning Networks. [Citation Graph (0, 0)][DBLP]
    IJCNN (1), 2000, pp:242-247 [Conf]
  13. Jinglu Hu, Kotaro Hirasawa
    Overlapped Multi-Neural-Network: A Case Study. [Citation Graph (0, 0)][DBLP]
    IJCNN (1), 2000, pp:120-125 [Conf]
  14. Kotaro Hirasawa, Jinglu Hu, Qingyu Xiong, Junichi Murata, Yuhki Shiraishi
    Universal Learning Networks with Branch Control. [Citation Graph (0, 0)][DBLP]
    IJCNN (3), 2000, pp:97-102 [Conf]
  15. Weishui Wan, Kotaro Hirasawa, Jinglu Hu, Chunzhi Jin
    A New Method to Prune the Neural Network. [Citation Graph (0, 0)][DBLP]
    IJCNN (6), 2000, pp:449-454 [Conf]
  16. Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu
    Association Rule Mining with Chi-Squared Test Using Alternate Genetic Network Programming. [Citation Graph (0, 0)][DBLP]
    Industrial Conference on Data Mining, 2006, pp:202-216 [Conf]
  17. Takashi Yamashita, Kotaro Hirasawa, Jinglu Hu
    Multi-branch Neural Networks and Its Application to Stock Price Prediction. [Citation Graph (0, 0)][DBLP]
    KES (1), 2005, pp:1-7 [Conf]
  18. Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu
    Genetic Network Programming with Acquisition Mechanisms of Association Rules in Dense Database. [Citation Graph (0, 0)][DBLP]
    CIMCA/IAWTIC, 2005, pp:47-54 [Conf]
  19. Kotaro Hirasawa, Shingo Mabu, Shinji Eto, Jinglu Hu
    An approximate stability analysis of nonlinear systems described by Universal Learning Networks. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2007, v:7, n:3, pp:642-651 [Journal]
  20. Shinji Eto, Hiroyuki Hatakeyama, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
    Realizing Functional Localization Using Genetic Network Programming with Importance Index. [Citation Graph (0, 0)][DBLP]
    JACIII, 2006, v:10, n:4, pp:555-566 [Journal]
  21. Toru Eguchi, Jin Zhou, Shinji Eto, Kotaro Hirasawa, Jinglu Hu, Sandor Markon
    Elevator Group Supervisory Control System Using Genetic Network Programming with Functional Localization. [Citation Graph (0, 0)][DBLP]
    JACIII, 2006, v:10, n:3, pp:385-394 [Journal]
  22. Kotaro Hirasawa, Jinglu Hu, Masanao Ohbayashi, Junichi Murata
    Computing Higher Order Derivatives in Universal Learning Networks. [Citation Graph (0, 0)][DBLP]
    JACIII, 1998, v:2, n:2, pp:47-53 [Journal]
  23. Kotaro Hirasawa, Jinglu Hu, Yusuke Yamamoto, Chunzhi Jin, Yurio Eki
    Control of Decentralized Systems Based on Nash Equilibrium Concept of Game Theory. [Citation Graph (0, 0)][DBLP]
    JACIII, 1999, v:3, n:4, pp:312-319 [Journal]
  24. Jinglu Hu, Kotaro Hirasawa, Kousuke Kumamaru
    LimNet-Flexible Learning Network Containing Linear Properties. [Citation Graph (0, 0)][DBLP]
    JACIII, 1999, v:3, n:4, pp:303-311 [Journal]
  25. Jinglu Hu, Kotaro Hirasawa, Kousuke Kumamaru
    Neurofuzzy Approach to Fault Detection of Nonlinear Systems. [Citation Graph (0, 0)][DBLP]
    JACIII, 1999, v:3, n:6, pp:524-531 [Journal]
  26. Jinglu Hu, Kotaro Hirasawa, Junichi Murata
    RasID - Random Search for Neural Network Training. [Citation Graph (0, 0)][DBLP]
    JACIII, 1998, v:2, n:4, pp:134-141 [Journal]
  27. Jinglu Hu, Kotaro Hirasawa, Junichi Murata, Chunzhi Jin, Takuya Matsuoka
    Probabilistic Learning-Network-Based Robust Control Scheme for Nonlinear Systems. [Citation Graph (0, 0)][DBLP]
    JACIII, 1999, v:3, n:6, pp:485-490 [Journal]
  28. Shingo Mabu, Kotaro Hirasawa, Yuko Matsuya, Jinglu Hu
    Genetic Network Programming for Automatic Program Generation. [Citation Graph (0, 0)][DBLP]
    JACIII, 2005, v:9, n:4, pp:430-436 [Journal]
  29. Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu
    Genetic Network Programming with Acquisition Mechanisms of Association Rules. [Citation Graph (0, 0)][DBLP]
    JACIII, 2006, v:10, n:1, pp:102-111 [Journal]
  30. Shigeo Abe, Junzo Kawakami, Kotaro Hirasawa
    Solving inequality constrained combinatorial optimization problems by the hopfield neural networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1992, v:5, n:4, pp:663-670 [Journal]
  31. Kotaro Hirasawa, Sung-Ho Kim, Jinglu Hu, Junichi Murata, Min Han, Chunzhi Jin
    Improvement of generalization ability for identifying dynamical systems by using universal learning networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2001, v:14, n:10, pp:1389-1404 [Journal]
  32. Kotaro Hirasawa, Shingo Mabu, Jinglu Hu
    Propagation and control of stochastic signals through universal learning networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:4, pp:487-499 [Journal]
  33. Kotaro Hirasawa, XiaoFeng Wang, Junichi Murata, Jinglu Hu, Chunzhi Jin
    Universal learning network and its application to chaos control. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2000, v:13, n:2, pp:239-253 [Journal]
  34. Qingyu Xiong, Kotaro Hirasawa, Jinglu Hu, Junichi Murata
    A functions localized neural network with branch gates. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2003, v:16, n:10, pp:1461-1481 [Journal]
  35. Toru Eguchi, Kotaro Hirasawa, Jinglu Hu, Nathan Ota
    A study of evolutionary multiagent models based on symbiosis. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2006, v:36, n:1, pp:179-193 [Journal]
  36. Kotaro Hirasawa, Jinglu Hu, Junichi Murata, Chunzhi Jin
    A new control method of nonlinear systems based on impulse responses of universal learning networks. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2001, v:31, n:3, pp:362-372 [Journal]
  37. Kotaro Hirasawa, Junichi Murata, Jinglu Hu, Chunzhi Jin
    Universal learning network and its application to robust control. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2000, v:30, n:3, pp:419-430 [Journal]
  38. Kotaro Hirasawa, Junichi Murata, Jinglu Hu, Chunzhi Jin
    Chaos control on universal learning networks. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part C, 2000, v:30, n:1, pp:95-104 [Journal]
  39. Kotaro Hirasawa, Masanao Ohbayashi, S. Sakai, Jinglu Hu
    Learning Petri network and its application to nonlinear system control. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 1998, v:28, n:6, pp:781-789 [Journal]
  40. Eloy Gonzales, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
    Genetic network programming with parallel processing for association rule mining in large and dense databases. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1512- [Conf]
  41. Karla Taboada, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
    Association rule mining for continuous attributes using genetic network programming. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1758- [Conf]
  42. Lu Yu, Jin Zhou, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Sandor Markon
    Effects of passenger's arrival distribution to double-deck elevator group supervisory control systems using genetic network programming. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1476-1483 [Conf]
  43. Yan Chen, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
    Trading rules on stock markets using genetic network programming with sarsa learning. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1503- [Conf]
  44. Yang Chen, Jinglu Hu, Kotaro Hirasawa, Songnian Yu
    GARS: an improved genetic algorithm with reserve selection for global optimization. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1173-1178 [Conf]
  45. Shingo Mabu, Yan Chen, Kotaro Hirasawa, Jinglu Hu
    Genetic network programming with actor-critic and its application to stock trading model. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:2263- [Conf]
  46. Jinglu Hu, Takafumi Sasakawa, Kotaro Hirasawa, Huiru Zheng
    A Hierarchical Learning System Incorporating with Supervised, Unsupervised and Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2007, pp:403-412 [Conf]
  47. Toru Eguchi, Kotaro Hirasawa, Jinglu Hu, Sandor Markon
    Elevator group supervisory control system using genetic network programming with functional localization. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:328-335 [Conf]
  48. DongKyu Sohn, Kotaro Hirasawa, Jinglu Hu
    Adaptive random search with intensification and diversification combined with genetic algorithm. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:1462-1469 [Conf]
  49. Jin Zhou, Toru Eguchi, Kotaro Hirasawa, Jinglu Hu, Sandor Markon
    Elevator group supervisory control system using genetic network programming with reinforcement learning. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:336-342 [Conf]

  50. Exceptional Association Rule Mining Using Genetic Network Programming. [Citation Graph (, )][DBLP]


  51. Construction of portfolio optimization system using genetic network programming with control nodes. [Citation Graph (, )][DBLP]


  52. Stock trading strategies by genetic network programming with flag nodes. [Citation Graph (, )][DBLP]


  53. Varying portfolio construction of stocks using genetic network programming with control nodes. [Citation Graph (, )][DBLP]


  54. Double-deck elevator system using genetic network programming with genetic operators based on pheromone information. [Citation Graph (, )][DBLP]


  55. Ranking association rules for classification based on genetic network programming. [Citation Graph (, )][DBLP]


  56. Backward time related association rule mining in trafficprediction using genetic network programming withdatabase rearrangement. [Citation Graph (, )][DBLP]


  57. A method of association rule analysis for incomplete database using genetic network programming. [Citation Graph (, )][DBLP]


  58. A double-deck elevator systems controller with idle cage assignment algorithm using genetic network programming. [Citation Graph (, )][DBLP]


  59. Pruning association rules using statistics and genetic relation algoritm. [Citation Graph (, )][DBLP]


  60. Solving Multi-Objective Optimization Problems by RasID-GA: Using an External Population in Genetic Operators. [Citation Graph (, )][DBLP]


  61. Double-Deck Elevator System Uing Genetic Network Programming with Genetic Operators Based on Pheromone Information. [Citation Graph (, )][DBLP]


  62. Switching for functional localization of genetic network programming. [Citation Graph (, )][DBLP]


  63. Effective Training Methods for Function Localization Neural Networks. [Citation Graph (, )][DBLP]


  64. Support Vector Machine with Fuzzy Decision-Making for Real-world Data Classification. [Citation Graph (, )][DBLP]


  65. Optimal route of road networks by dynamic programming. [Citation Graph (, )][DBLP]


  66. Financial time series prediction using a support vector regression network. [Citation Graph (, )][DBLP]


  67. Adjusting Class Association Rules from Global and Local Perspectives Based on Evolutionary Computation. [Citation Graph (, )][DBLP]


  68. A Portfolio Selection Model using Genetic Relation Algorithm and Genetic Network Programming. [Citation Graph (, )][DBLP]


  69. Evolving Plural Programs by Genetic Network Programming with Multi-Start Nodes. [Citation Graph (, )][DBLP]


  70. Network Intrusion Detection using Fuzzy Class Association Rule Mining Based on Genetic Network Programming. [Citation Graph (, )][DBLP]


  71. Fuzzy Classification Rule Minining Based on Genetic Network Programming Algorithm. [Citation Graph (, )][DBLP]


  72. Multi-Routes Algorithm using Temperature Control of Boltzmann Distribution in Q value-based Dynamic Programming. [Citation Graph (, )][DBLP]


  73. A Study on Energy Consumption of Elevator Group Supervisory Control Systems using Genetic Network Programming. [Citation Graph (, )][DBLP]


  74. Backward Time Related Association Rule mining with Database Rearrangement in Traffic Volume Prediction. [Citation Graph (, )][DBLP]


  75. Genetic network programming with learning and evolution for adapting to dynamical environments. [Citation Graph (, )][DBLP]


  76. Genetic Network Programming with control nodes. [Citation Graph (, )][DBLP]


  77. Performance tuning of genetic algorithms with reserve selection. [Citation Graph (, )][DBLP]


  78. Double-deck elevator systems using Genetic Network Programming with reinforcement learning. [Citation Graph (, )][DBLP]


  79. Mining association rules from databases with continuous attributes using genetic network programming. [Citation Graph (, )][DBLP]


  80. Mining equalized association rules from multi concept layers of ontology using Genetic Network Programming. [Citation Graph (, )][DBLP]


  81. Stock trading rules using genetic network programming with actor-critic. [Citation Graph (, )][DBLP]


  82. Double-deck Elevator Group Supervisory Control System using Genetic Network Programming with Ant Colony Optimization. [Citation Graph (, )][DBLP]


  83. Genetic network programming with sarsa learning and its application to creating stock trading rules. [Citation Graph (, )][DBLP]


  84. Class association rule mining for large and dense databases with parallel processing of genetic network programming. [Citation Graph (, )][DBLP]


  85. Genetic Network Programming based data mining method for extracting fuzzy association rules. [Citation Graph (, )][DBLP]


  86. Training of Multi-Branch Neural Networks using RasID-GA. [Citation Graph (, )][DBLP]


  87. Distributed multi-relational data mining based on genetic algorithm. [Citation Graph (, )][DBLP]


  88. Solving deceptive problems using a genetic algorithm with reserve selection. [Citation Graph (, )][DBLP]


  89. Comparative association rules mining using Genetic Network Programming(GNP) with attributes accumulation mechanism and its application to traffic systems. [Citation Graph (, )][DBLP]


  90. Double-deck elevator systems adaptive to traffic flows using Genetic Network Programming. [Citation Graph (, )][DBLP]


  91. A personalized association rule ranking method based on semantic similarity and evolutionary computation. [Citation Graph (, )][DBLP]


  92. Real Time Updating Genetic Network Programming for adapting to the change of stock prices. [Citation Graph (, )][DBLP]


  93. Genetic Network Programming with rules. [Citation Graph (, )][DBLP]


  94. Time related association rules mining with attributes accumulation mechanism and its application to traffic prediction. [Citation Graph (, )][DBLP]


  95. Evaluating class association rules using Genetic Relation Programming. [Citation Graph (, )][DBLP]


  96. Genetic Network Programming for fuzzy association rule-based classification. [Citation Graph (, )][DBLP]


  97. Genetic Network Programming with Rule Accumulation Considering Judgment Order. [Citation Graph (, )][DBLP]


  98. Genetic Network Programming with Reconstructed Individuals. [Citation Graph (, )][DBLP]


  99. Mining multi-class datasets using Genetic Relation Algorithm for rule reduction. [Citation Graph (, )][DBLP]


  100. Constructing portfolio investment strategy based on Time Adapting Genetic Network Programming. [Citation Graph (, )][DBLP]


  101. Multi-car elevator group supervisory control system using Genetic Network Programming. [Citation Graph (, )][DBLP]


  102. Generalized Time Related Sequential Association rule mining and traffic prediction. [Citation Graph (, )][DBLP]


  103. A comparison of SLAM implementations for indoor mobile robots. [Citation Graph (, )][DBLP]


  104. Multiple Sequence Alignment Based on Genetic Algorithms with Reserve Selection. [Citation Graph (, )][DBLP]


  105. Study of multi-branch structure of Universal Learning Networks. [Citation Graph (, )][DBLP]


  106. Enhancing the generalization ability of neural networks through controlling the hidden layers. [Citation Graph (, )][DBLP]


  107. A model of portfolio optimization using time adapting genetic network programming. [Citation Graph (, )][DBLP]


  108. A Graph-Based Evolutionary Algorithm: Genetic Network Programming (GNP) and Its Extension Using Reinforcement Learning. [Citation Graph (, )][DBLP]


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