Radial Basis Function Neural Networks for Filling the MoM Impedance Matrix

In this paper radial basis function neural network (RBF-NN) used for filling the method of moments (MoM) impedance matrix of several configuration of wire antennas. Four radial basis function neural networks (RBF-NNs) are trained to calculate the impedances of two elements consist of four monopoles. The mutual impedance between the two elements is the sum of outputs of the four RBF-NNs. The RBF-NN model is applied to the analysis of the straight dipole, two element array, circular array, wire-grid corner reflector, square loop, and square spiral antenna