BROADBAND MODELING OF WIRE ANTENNAS BY GENETIC NEURAL NETWORKS

Abstract. The paper describes an approach to learning artificial neural networks (ANN) with the genetic algorithm (GA). Two types of ANN are used: the recurrent Elman ANN and the feed-forward one. Neural networks are implemented in MATLAB. Results of training abilities are discussed.

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