Design of square and rectangular microstrip antenna with the use of FFBP algorithm of artificial neural network

In this paper, the analysis and synthesis design of square and rectangular microstrip antenna by using ANN is presented. The feed forward back propogation algorithm of ANN is used to design the parameters of square and rectangular patch antenna. Neural results of trained and tested data are in very good agreement with the experimental results available in the literature. Both models have been used in the field of computational electromagnetics of patch antenna as the most powerful optimizing tools. With the help of analysis model, we get the accurate value of resonant frequency while synthesis model helps to get the accurate value of width W and length L of MSA.