A simple but powerful heuristic method for generating fuzzy rules from numerical data
Fuzzy Sets and Systems
Real-valued genetic algorithms for fuzzy grey prediction system
Fuzzy Sets and Systems
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The objective of this paper is to use the back-propagation (BP) algorithm in conjunction with grey relations to find the optimal partitions of the consequent part in fuzzy neural networks (FNN). A BP algorithm with grey relational coefficient (GRC) is proposed in order to decrease the square errors of the FNN for acquiring the optimal partitions of the consequent part of fuzzy rules. From the simulation results, we find that the present method applied for fuzzy logic control of an inverted pendulum has better performance than that of the traditional BP algorithm.