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
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;
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
DOI :
10.1109/FUZZY.1994.343548
