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A fuzzy neural network and its application to controls

✍ Scribed by Sun Zengqi; Deng Zhidong

Publisher
Elsevier Science
Year
1996
Tongue
English
Weight
503 KB
Volume
10
Category
Article
ISSN
0954-1810

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✦ Synopsis

A fuzzy neural network is presented. The network is composed of two parts: an antecedent network and a consequent network. The network acts as a fuzzy logic controller. The antecedent network matches the premises of the fuzzy rules and the consequent network implements the consequences of the rules. The network has similar structure to a CMAC. An example for mapping a nonlinear function shows a good results of the fiuzy neural network. A control structure based on the fuzzy neural network and a BP network is given, which has the same structure as the model reference adaptive control system.

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