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Jinglu Hu: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. 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]
  2. 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]
  3. 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]
  4. 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]
  5. 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]
  6. Jiangming Mao, Kotaro Hirasawa, Jinglu Hu, Junichi Murata
    Increasing Robustness Of Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:456-462 [Conf]
  7. 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]
  8. Jinglu Hu, Kotaro Hirasawa
    A Hierarchical Method for Training Embedded Sigmoidal Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:937-942 [Conf]
  9. 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]
  10. Jinglu Hu, Kotaro Hirasawa
    Overlapped Multi-Neural-Network: A Case Study. [Citation Graph (0, 0)][DBLP]
    IJCNN (1), 2000, pp:120-125 [Conf]
  11. 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]
  12. 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]
  13. 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]
  14. 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]
  15. 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]
  16. 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]
  17. 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]
  18. 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]
  19. 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]
  20. 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]
  21. 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]
  22. 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]
  23. 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]
  24. 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]
  25. 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]
  26. 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]
  27. 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]
  28. 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]
  29. 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]
  30. 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]
  31. 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]
  32. 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]
  33. 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]
  34. 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]
  35. 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]
  36. 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]
  37. 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]
  38. 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]
  39. 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]
  40. 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]
  41. 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]
  42. 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]
  43. 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]
  44. 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]
  45. 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]

  46. Cluster Analysis of Regulatory Sequences with a Log Likelihood Ratio Statistics-based Similarity Measure. [Citation Graph (, )][DBLP]


  47. eSBH: An Accurate Constructive Heuristic Algorithm for DNA Sequencing by Hybridization. [Citation Graph (, )][DBLP]


  48. Nuclei Extraction Based on Multi-channel Information. [Citation Graph (, )][DBLP]


  49. An Improved Discrete Particle Swarm Optimization Based on Cooperative Swarms. [Citation Graph (, )][DBLP]


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


  66. A novel EDAs based method for HP model protein folding. [Citation Graph (, )][DBLP]


  67. Glomerulus extraction by using genetic algorithm for edge patching. [Citation Graph (, )][DBLP]


  68. Image Segmentation Based on 2D Otsu Method with Histogram Analysis. [Citation Graph (, )][DBLP]


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


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


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


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


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