GENERATION AND OPTIMIZATION OF FUZZY NEURAL NETWORKS STRUCTURE AND ITS APPLICATION TO PATTERN RECOGNITION

Vladimír Olej

   The paper presents the possibility of application of genetic algorithms for optimization of fuzzy neural networks structure and its application to pattern recognition. A genetic method to generate a fuzzy neural network, which has both structure and synapse weights adequate for a given task is proposed.

Keywords: optimization, fuzzy neural networks, genetic algorithms, pattern recognition

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