RBF Neural Network Modeling of Rectangular Microstrip Patch Antenna

Abstract

In this paper, a design procedure has been proposed for rectangular micro strip patch antenna using artificial neural network, which has been demonstrated using radial basis function neural network. The Neural model was analyzed for 20 sets of input output parameters. The radial basis function outputs are optimized by variation of spread constant and number of neurons. By applying this model we can reduce output error as well as time delay of system. The testing of output of neural model is found in good agreement with theoretical values.