artificial neural network, genetic algorithm, cluster analysis, neuron, chromosome, back error

propagation, Branins test function.

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2012 , VOLUME 12, NUMBER 2 ( MARCH-APRIL )

ISSN 2226-1494 (print), ISSN 2500-0373 (online)

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Nikiforov
Vladimir O.
D.Sc., Prof.

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SYNTHESIS OF OPTIMAL ARTIFICIAL NEURAL NETWORKS BY MODIFIED GENETIC ALGORITHM

I. B. Bondarenko, Y. A. Gatchin, Гераничев В.Н.

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Abstract

Principles of neural networks synthesis are considered, shortcomings of approaches are shown when choosing

the structure and scales adjustment. Networks optimization is possible by evolutionary algorithms application

with advantages becoming apparent with multi coherent and multilayered networks operation. Simulation

experiments were made on concrete test function and confirm efficiency of the developed algorithms.

Keywords: artificial neural network, genetic algorithm, cluster analysis, neuron, chromosome, back error propagation, Branins test function.

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