DocumentCode
2270178
Title
Genetic learning algorithms for fuzzy neural nets
Author
Krishnamraju, P.V. ; Buckley, J.J. ; Reilly, K.D. ; Hayashi, Y.
Author_Institution
Dept. of Comput. & Inf. Sci., Alabama Univ., Birmingham, AL, USA
fYear
1994
fDate
26-29 Jun 1994
Firstpage
1969
Abstract
In this paper we present a genetic learning algorithm for fuzzy neural nets. Illustrations are provided This paper is concerned with learning algorithms for fuzzy neural nets. We first introduce the basic notation to be employed and then discuss what we mean by a fuzzy neural net. Then we briefly survey the literature on learning algorithms for fuzzy neural nets. A description of our genetic learning algorithm is given
Keywords
fuzzy neural nets; fuzzy set theory; genetic algorithms; learning (artificial intelligence); fuzzy neural nets; genetic learning algorithm; nonlinear squashing functions; triangular fuzzy number; Arithmetic; Equations; Fuzzy neural networks; Fuzzy sets; Genetics; Mathematics; Neural networks; Neurons; Training data; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1896-X
Type
conf
DOI
10.1109/FUZZY.1994.343548
Filename
343548
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