Fuzzy neural network with fuzzy signals and weights | Zendy

Hayashi Yoichi | Zendy; Buckley James J. | Zendy; Czogala Ernest | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Premium

Fuzzy neural network with fuzzy signals and weights

Author(s) -

Hayashi Yoichi,

Buckley James J.,

Czogala Ernest

Publication year - 1993

Publication title -

international journal of intelligent systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.291

H-Index - 87

eISSN - 1098-111X

pISSN - 0884-8173

DOI - 10.1002/int.4550080405

Subject(s) - neuro fuzzy , fuzzy set operations , artificial intelligence , fuzzy classification , computer science , fuzzy logic , artificial neural network , defuzzification , fuzzy set , adaptive neuro fuzzy inference system , fuzzy control system , feedforward neural network , fuzzy number , data mining , machine learning

We discuss the direct fuzzification of a standard layered, feedforward, neural network where the signals and weights are fuzzy sets. A fuzzified delta rule is presented for learning. Three applications are given including fuzzy expert systems, fuzzy hierarchical analysis, and fuzzy systems modeling. © 1993 John Wiley & Sons, Inc.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here

Accelerating Research