DocumentCode :
3210777
Title :
Application and Research of T-S Fuzzy Neural Network Based on Chaotic BP Method
Author :
Kejun Wang ; Mo Tang ; Yan Zhang
Author_Institution :
Harbin Inst. of Technol., China
fYear :
2006
fDate :
7-11 Aug. 2006
Firstpage :
1183
Lastpage :
1187
Abstract :
In this paper a new chaotic BP algorithm is studied. That is introducing a new type of nonlinear chaotic map into the learning algorithm of T-S fuzzy neural network. The combination of chaos and BP learning method make fuzzy neural network escape from getting in local minimization value. Then approximate nonlinear and chaotic systems using the new learning algorithm. Simulation result show that the transform could improve the property of neural network, which is capable of reduce error and have better generalization performance.
Keywords :
backpropagation; chaos; fuzzy neural nets; nonlinear systems; BP learning method; T-S fuzzy neural network; chaotic BP algorithm; chaotic system; nonlinear chaotic map; nonlinear system; Chaos; Electronic mail; Fuzzy neural networks; IEEE catalog; Iron; Learning systems; Minimization methods; Neural networks; BP Algorithm; Chaos; Fuzzy Neural Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference, 2006. CCC 2006. Chinese
Conference_Location :
Harbin
Print_ISBN :
7-81077-802-1
Type :
conf
DOI :
10.1109/CHICC.2006.280601
Filename :
4060267
Link To Document :
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