Performance of Affordable Neural Network for Back Propagation Learning

1 Citations 11 References
  • UWATE Yoko
    Department of Electrical and Electronic Engineering, Tokushima University
  • NISHIO Yoshifumi
    Department of Electrical and Electronic Engineering, Tokushima University

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Description

Cell assembly is one of explanations of information processing in the brain, in which an information is represented by a firing space pattern of a group of plural neurons. On the other hand, effectiveness of neural network has been confirmed in pattern recognition, system control, signal processing, and so on, since the back propagation learning was proposed. In this study, we propose a new network structure with affordable neurons in the hidden layer of the feedforward neural network. Computer simulated results show that the proposed network exhibits a good performance for the back propagation learning. Furthermore, we confirm the proposed network has a good generalization ability.

Journal

  • IEICE Trans. Fundamentals, A

    IEICE Trans. Fundamentals, A 89 (9), 2374-2380, 2006-09-01

    The Institute of Electronics, Information and Communication Engineers

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Keywords

Details 詳細情報について

  • CRID
    1573950402335468032
  • NII Article ID
    110007537952
  • NII Book ID
    AA10826239
  • ISSN
    09168508
  • Text Lang
    en
  • Data Source
    • CiNii Articles

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