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Application and research of T-S fuzzy neural network based on chaotic BP method

  • Wang Kejun*
  • , Tang Mo
  • , Zhang Yan
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2006 Chinese Control Conference Proceedings, CCC 2006
Pages1183-1187
Number of pages5
DOIs
StatePublished - 2007
Event25th Chinese Control Conference, CCC 2006 - Harbin, China
Duration: 7 Aug 200611 Aug 2006

Publication series

Name2006 Chinese Control Conference Proceedings, CCC 2006

Conference

Conference25th Chinese Control Conference, CCC 2006
Country/TerritoryChina
CityHarbin
Period7/08/0611/08/06

Keywords

  • BP algorithm
  • Chaos
  • Fuzzy neural networks

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