Systems engineering applications of fuzzy neural networks

Author

Hayashi, Yoichi ; Buckley, James J. ; Czogala, Ernest

Author_Institution

Dept. of Comput. & Inf. Sci., Ibaraki Univ., Japan

Volume

2

fYear

1992

fDate

7-11 Jun 1992

Firstpage

413

Abstract

Applications of three types of fuzzy neural networks are presented: crisp signals used to evaluate fuzzy weights; fuzzy signals combined with fuzzy weights; and fuzzy signals transformed by a fuzzy neuron (no weights). The applications are drawn from the fuzzy controller, system identification, and fuzzy expert systems. In all cases a learning algorithm is proposed. In each case, a brief review is presented of the model of the fuzzy neuron, together with a detailed discussion of the application of the neural network built up of these fuzzy neurons

Keywords

expert systems; fuzzy logic; learning (artificial intelligence); neural nets; systems analysis; systems engineering; crisp signals; expert systems; fuzzy controller; fuzzy neural networks; fuzzy neuron; fuzzy signals; fuzzy weights; learning algorithm; system identification; systems engineering applications; Application software; Fuzzy control; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Hybrid intelligent systems; Neural networks; Neurons; Systems engineering and theory; Training data;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1992. IJCNN., International Joint Conference on

Conference_Location

Baltimore, MD

Print_ISBN

0-7803-0559-0

Type

conf

DOI

10.1109/IJCNN.1992.226953

Filename

226953