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Articles

MUTUAL COUPLING ANALYSES OF ANTENNA ARRAYS BY NEURAL NETWORK MODELS WITH RADIAL BASIS FUNCTIONS

Pages 1217-1223 | Published online: 03 Apr 2012
 

Abstract

In this paper, the neural network model with radial basis functions (RBF-NN) is applied to the mutual coupling analyses of antenna arrays. Initially, the RBF-NN is trained by data sets calculated from the moment methods. Numerical examples show that the results predicted by the trained RBF-NN are consistent with those calculated from the moment methods. The trained RBF-NN is useful in the application of antenna arrays.

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