中国物理B ›› 2012, Vol. 21 ›› Issue (2): 20507-020507.doi: 10.1088/1674-1056/21/2/020507

• GENERAL • 上一篇    下一篇

张诣,王兴元   

  • 收稿日期:2011-05-05 修回日期:2011-08-31 出版日期:2012-01-30 发布日期:2012-01-30
  • 通讯作者: 王兴元,wangxy@dlut.edu.cn E-mail:wangxy@dlut.edu.cn

Fuzzy neural network based on a Sigmoid chaotic neuron

Zhang Yi(张诣) and Wang Xing-Yuan(王兴元)   

  1. School of Electronic & Information Engineering, Dalian University of Technology, Dalian 116024, China
  • Received:2011-05-05 Revised:2011-08-31 Online:2012-01-30 Published:2012-01-30
  • Contact: Wang Xing-Yuan,wangxy@dlut.edu.cn E-mail:wangxy@dlut.edu.cn
  • Supported by:
    Project supported by the National Natural Science Foundation of China (Grant Nos. 61173183, 60973152, and 60573172), the Superior University Doctor Subject Special Scientific Research Foundation of China (Grant No. 20070141014), and the Natural Science Foundation of Liaoning Province, China (Grant No. 20082165).

Abstract: The theories of intelligent information processing are urgently needed for the rapid development of modem science. In this paper, a novel fuzzy chaotic neural network, which is the combination of fuzzy logic system, artificial neural network system, and chaotic system, is proposed. We design its model structure which is based on the Sigmoid map, derive its mathematical model, and analyse its chaotic characteristics. Finally the relationship between the accuracy of map and the membership function is illustrated by simulation.

Key words: chaos, fuzzy, neural network

中图分类号:  (Control of chaos, applications of chaos)

  • 05.45.Gg
84.35.+i (Neural networks)