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

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.