Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2002, Vol. 25 ›› Issue (2): 14-17.

• Original articles • Previous Articles     Next Articles

A Modular Neural Network Architecture #br# Based on Parallel Cooperation

LING Wei-xin1, ZHENG Qi-lun2, CHEN Qiong2, LU Cui-ying1   

  1. 1. Dept. of Applied Mathematics, South China Univ. of Tech., Guangzhou510640, China;
    2. Dept. of Computer Engineering and Science, South China Univ. of Tech., Guangzhou 510640, China)
  • Received:2001-07-16 Online:2002-03-10
  • Supported by:
     

Abstract: The architecture and algorithm of Parallel Cooperative Modular Neural Network (PCMNN) are proposed in this paper. It has theadvantage of automatic decomposition of given task and its modular training of network. Experiments proposed in this paper is practicable and effective and is superior to non-modular method due to its high efficiency for a parallel network system structure, easy implementation of additional learning and modular structure for implementation by hardware.

Key words: neural network, modular structure, learning algorithm, decomposition decision

CLC Number: