A high speed design of rectangular and square shape MSA for higher accuracy through RBF of ANN

In this work radial basis function algorithm of artificial neural network has been developed to design the analysis and synthesis model of rectangular and square shape microstrip antenna. Rbf is used to design the parameters of square and rectangular patch antenna. Ann method gives very high computational efficiency as compared to the electromagnetic techniques which is time consuming. Rbf is developed for 40 data samples for both models. It gives the best result with zero error for trained and tested data of both models of msa. This is the most optimizing tool adopted of late in the field of computational electromagnetics. Synthesis model gives the dimensions while analysis model gives the resonant frequency of patch antenna. The theoretical values obtained by both models are in very good agreement with experimental results reported elsewhere.