Title :
A genetic fuzzy neural network for pattern recognition
Author :
Kandel, Abraham ; Zhang, Yan-Qing ; Bunke, Horst
Author_Institution :
Dept. of Electr. Eng. Syst., Tel Aviv Univ., Israel
Abstract :
In this paper, a genetic fuzzy neural network for pattern recognition is proposed by applying genetic algorithms to the Kwan-Cai fuzzy neural network (1990). A genetic-guided self-organizing learning algorithm is capable of reducing the number of fuzzy neurons and increasing recognition rates for the fixed number of output neurons. The simulations have indicated that the genetic fuzzy neural network can effectively recognize various distorted patterns with good recognition rates
Keywords :
fuzzy neural nets; genetic algorithms; learning (artificial intelligence); pattern recognition; self-organising feature maps; Kwan-Cai fuzzy neural network; distorted patterns; genetic fuzzy neural network; genetic-guided self-organizing learning algorithm; pattern recognition; Biological neural networks; Computer science; Fuzzy neural networks; Fuzzy set theory; Genetic algorithms; Hopfield neural networks; Neural networks; Neurons; Pattern recognition; Subspace constraints;
Conference_Titel :
Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
Print_ISBN :
0-7803-3796-4
DOI :
10.1109/FUZZY.1997.616347
