Weight training for performance optimization in fuzzy neural network

Authors:
Hui-Chen Chang;Yau-Tarng Juang
Affiliations:
Department of Electrical Engineering, National Central University, Chung-Li, Taiwan;Department of Electrical Engineering, National Central University, Chung-Li, Taiwan
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Year:
2005

Citing 6
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Abstract

An algorithm for improving performance by training a fuzzy neural network (FNN) based on the back-propagation (BP) algorithm and grey relations is proposed. This technique is developed by directly incorporating the grey relational coefficient (GRC) into the learning rule of the BP, and a BP with GRC technique is proposed in order to improve the performance of training the FNN. From the simulation results, we demonstrate this technique applied for controlling a nonlinear fuzzy model car system and find the result is better than the classical BP algorithm for training the FNN.