DocumentCode :
1847284
Title :
A study of fuzzy chaotic neuron and fuzzy chaotic neural network
Author :
Wang, Kejun ; Tang, Mo ; Liu, Wei
Author_Institution :
Dept. of Autom., Harbin Eng. Univ., Heilongjiang, China
Volume :
2
fYear :
2005
fDate :
29 July-1 Aug. 2005
Firstpage :
890
Abstract :
This paper proposes a model of fuzzy chaotic neuron (FCN), which is derived from chaotic neuron, as to combine fuzzy logic with chaotic neural network. We first give the expression of FCN and analyze its fuzzy character, scattering character and Lyapunov exponent separately. Some restrains of the parameter k are deduced to make sure the FCN has both fuzzy and chaotic character. After that the paper constructs a fuzzy chaotic neural network (FCNN) on the basis of FCN, and list weight-updating method. At last is an example, in which a fuzzy self-associate problem is solved using FCNN.
Keywords :
Lyapunov methods; chaos; fuzzy logic; fuzzy neural nets; nonlinear systems; Lyapunov exponent; fuzzy chaotic neural network; fuzzy chaotic neuron; fuzzy logic; list weight-updating; scattering character; Artificial neural networks; Biological neural networks; Chaos; Fuzzy logic; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Humans; Neural networks; Neurons;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation, 2005 IEEE International Conference
Print_ISBN :
0-7803-9044-X
Type :
conf
DOI :
10.1109/ICMA.2005.1626669
Filename :
1626669
Link To Document :
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