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Indexed by:期刊论文

Date of Publication:2014-10-01

Journal:ICIC Express Letters, Part B: Applications

Included Journals:EI、Scopus

Volume:5

Issue:5

Page Number:1231-1236

ISSN No.:21852766

Abstract:In this paper, a fuzzy neural network (FNN) which utilizes Taylor expansion as the consequent of fuzzy rules is proposed for modeling and predicting nonlinear systems. Fuzzy c-means (FCM) method is used to determine the number of fuzzy rules. Extreme learning machine (ELM) is adopted to determine the parameters of fuzzy neural network. Further, a structure-learning algorithm is obtained to determine the number of fuzzy rules and the order of the Taylor expansion. Simulation results show that the proposed model can achieve good approximation capability for some nonlinear systems with simpler structure. ? 2014 ICIC International.