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Norio Baba: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Norio Baba, Naoyuki Kubota
    Collision Avoidance Planning of a Robot Manipulator by Using Genetic Algorithm - A Consideration for the Problem in Which Moving Obstacles and/or Several Robots are Included in the Workspace. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1994, pp:714-719 [Conf]
  2. Seiichi Ozawa, Kazuyoshi Tsutsumi, Norio Baba
    Design of Modular Neural Network Architectures Using Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:1608-1611 [Conf]
  3. Norio Baba, Naoyuki Inoue, Hiroyuki Asakawa
    Utilization of Neural Networks & GAs for Constructing Reliable Decision Support Systems to Deal Stocks. [Citation Graph (0, 0)][DBLP]
    IJCNN (5), 2000, pp:111-116 [Conf]
  4. Norio Baba, Hidetsugu Suto
    Utilization of Artificial Neural Networks and Gas for Constructing an Intelligent Sales Prediction System. [Citation Graph (0, 0)][DBLP]
    IJCNN (6), 2000, pp:565-570 [Conf]
  5. Norio Baba
    Utilization of NNs for Improving the Traditional Technical Analysis in the Financial Markets. [Citation Graph (0, 0)][DBLP]
    KES (3), 2006, pp:663-669 [Conf]
  6. Norio Baba, Tomoko Kawachi
    A New Trial for Improving the Traditional Technical Analysis in the Stock Markets. [Citation Graph (0, 0)][DBLP]
    KES, 2004, pp:434-440 [Conf]
  7. Norio Baba, Yoshio Mogami
    A New Learning Algorithm for the Hierarchical Structure Learning Automata Operating in the General Nonstationary Multiteacher Environment. [Citation Graph (0, 0)][DBLP]
    KES, 2003, pp:1122-1128 [Conf]
  8. Norio Baba, Yoshio Mogami
    A Consideration on the Learning Behaviors of the HSLA Under the Nonstationary Multiteacher Environment and Their Application to Simulation and Gaming. [Citation Graph (0, 0)][DBLP]
    KES, 2004, pp:792-798 [Conf]
  9. Norio Baba, Yoshio Mogami
    Learning Behaviors of the Hierarchical Structure Stochastic Automata. [Citation Graph (0, 0)][DBLP]
    KES (1), 2005, pp:624-634 [Conf]
  10. Norio Baba, Toshinori Nomura
    An Intelligent Utilization of Neural Networks for Improving the Traditional Technical Analysis in the Stock Markets. [Citation Graph (0, 0)][DBLP]
    KES (1), 2005, pp:8-14 [Conf]
  11. Norio Baba, Yaai Wang, Tomoko Kawachi, Lina Xu, Zhenglong Deng
    Utilization of AI & GAs to Improve the Traditional Technical Analysis in the Financial Markets. [Citation Graph (0, 0)][DBLP]
    KES, 2003, pp:1095-1099 [Conf]
  12. Norio Baba
    Utilization of Stochastic Automata and Genetic Algorithms for Neural Network Learning. [Citation Graph (0, 0)][DBLP]
    PPSN, 1992, pp:433-442 [Conf]
  13. Norio Baba
    Learning behavior of stochastic automata in the last stage of learning. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1975, v:9, n:4, pp:315-322 [Journal]
  14. Norio Baba
    Least cost testing sequence problem with unknown rejecting probabilities. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1977, v:12, n:2, pp:157-162 [Journal]
  15. Norio Baba, Toshio Shoman, Yoshikazu Sawaragi
    A modified convergence theorem for a random optimization method. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1977, v:13, n:2, pp:159-166 [Journal]
  16. Norio Baba, Lakhmi C. Jain
    Computational Intelligence in Games. [Citation Graph (0, 0)][DBLP]
    J. Artificial Societies and Social Simulation, 2004, v:7, n:1, pp:- [Journal]
  17. Norio Baba
    A new approach for finding the global minimum of error function of neural networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1989, v:2, n:5, pp:367-373 [Journal]
  18. Norio Baba, Yoshio Mogami, Motokazu Kohzaki, Yasuhiro Shiraishi, Yutaka Yoshida
    A hybrid algorithm for finding the global minimum of error function of neural networks and its applications. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1994, v:7, n:8, pp:1253-1265 [Journal]
  19. Seiichi Ozawa, Kazuyoshi Tsutsumi, Norio Baba
    A Continuous-Time Model of Autoassociative Neural Memories Utilizing the Noise-Subspace Dynamics. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 1999, v:10, n:2, pp:97-109 [Journal]
  20. Norio Baba, Yoshio Mogami
    A new learning algorithm for the hierarchical structure learning automata operating in the nonstationary S-model random environment. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2002, v:32, n:6, pp:750-758 [Journal]
  21. Norio Baba, Kou Nin
    Prediction of Golden Cross and Dead Cross by Neural Networks and Its Utilization. [Citation Graph (0, 0)][DBLP]
    KES (2), 2007, pp:642-648 [Conf]
  22. Norio Baba, Yoshio Mogami
    A Consideration on the Learning Performances of the Hierarchical Structure Learning Automata (HSLA) Operating in the General Nonstationary Multiteacher Environment. [Citation Graph (0, 0)][DBLP]
    KES (3), 2007, pp:82-90 [Conf]

  23. Application of soft computing techniques for dealing Tokyo stock exchange prices indexes (TOPIX). [Citation Graph (, )][DBLP]


  24. Utilization of GAs in order to let a player on the computer side have enough intelligence. [Citation Graph (, )][DBLP]


  25. Evolution of a dynamical modular neural network and its application to associative memories. [Citation Graph (, )][DBLP]


  26. Utilization of GAs in order to make game playing much more exciting. [Citation Graph (, )][DBLP]


  27. Intelligent decision support systems utilizing neural networks and temporal difference learning. [Citation Graph (, )][DBLP]


  28. A consideration on the learning algorithm of neural network-utilization of the hierarchical structure stochastic automata for the backpropagation method with momentum. [Citation Graph (, )][DBLP]


  29. A research concerning a concept generation and an action of an agent. [Citation Graph (, )][DBLP]


  30. Application of temporal difference learning method to computer gaming. [Citation Graph (, )][DBLP]


  31. Utilization of Soft Computing Techniques for Making Environmental Games More Exciting -Toward an Effective Utilization of the COMMONS GAME. [Citation Graph (, )][DBLP]


  32. Effective Utilization of Neural Networks for Constructing an Intelligent Decision Support System for Dealing Stocks. [Citation Graph (, )][DBLP]


  33. An artificial modular neural network and its basic dynamical characteristics. [Citation Graph (, )][DBLP]


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