Study, Analysis and Design of Rectangular Microstrip Patch Antenna based Algorithms used in Artificial Neural Networks (original) (raw)

In this paper, the analysis and design of rectangular microstrip patch antenna by using various algorithms used in Artificial neural Network (ANN) is presented. The feed forward back propogation algorithm, Levenburg-Marquardt Algorithm (LMA) and Radial Basis functions(RBF) of ANN is used to design the parameter of Rectangular Microstrip Patch Antenna(RMPA). The results obtained from training and testing of data are very close to each other and shows good agreement with the results available and obtained from formulae. Here models of ANN have been used in the field of electromagnetics of microstrip patch antenna as the most powerful optimizing tools. With the help of this analysis model, we get the accurate value of resonant frequency with width and length of RMPA.