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On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm

IEEE Transactions on Neural Networks · 1992 · Vol. 3(5) · pp. 801–806
Shin‐ichi HorikawaTakeshi FuruhashiY. Uchikawa

Abstract

A fuzzy modeling method using fuzzy neural networks with the backpropagation algorithm is presented. The method can identify the fuzzy model of a nonlinear system automatically. The feasibility of the method is examined using simple numerical data.

Fuzzy Logic and Control SystemsNeural Networks and ApplicationsAdvanced Scientific Research MethodsBackpropagationArtificial neural networkFuzzy logicComputer scienceNeuro-fuzzyArtificial intelligenceAlgorithmSimple (philosophy)Fuzzy control systemNonlinear system
Citations
873
FWCI
33.86
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6
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Cited by
Fuzzy logic systems for engineering: a tutorial
Proceedings of the IEEE · 1995 · 2,085 citations
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