Neural-network-based fuzzy logic control and decision system

A general neural-network (connectionist) model for fuzzy logic control and decision systems is proposed. This connectionist model, in the form of feedforward multilayer net, combines the idea of fuzzy logic controller and neural-network structure and learning abilities into an integrated neural-netw...

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Veröffentlicht in:	IEEE transactions on computers 1991-12, Vol.40 (12), p.1320-1336
Hauptverfasser:	Lin, C.-T., Lee, C.S.G.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Control system synthesis Control systems Electric, optical and optoelectronic circuits Electronics Exact sciences and technology Fuzzy control Fuzzy logic Medical control systems Multi-layer neural network Neural networks Nonlinear control systems Robot control Supervised learning
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