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
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