Fuzzy neural network based on a Sigmoid chaotic neuron

doi:10.1088/1674-1056/21/2/020507

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.

Keywords: chaos fuzzy neural network

Received: 05 May 2011
Revised: 31 August 2011
Accepted manuscript online:

PACS:	05.45.Gg	(Control of chaos, applications of chaos)
	84.35.+i	(Neural networks)

Fund: 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).

Corresponding Authors: Wang Xing-Yuan,wangxy@dlut.edu.cn
E-mail: wangxy@dlut.edu.cn

Cite this article:

Zhang Yi(张诣) and Wang Xing-Yuan(王兴元) Fuzzy neural network based on a Sigmoid chaotic neuron 2012 Chin. Phys. B 21 020507

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