Calculation of Resonating Frequency of an Equilateral Triangular Microstrip Antenna using Artificial Neural Network

This paper adopted a new method of calculation of resonating frequency of an equilateral triangular microstrip antenna using artificial neural network (ANN). The major advantage of an artificial neural network is proposed to predict the resonant frequency of an antenna as a function of its geometric parameters. The proposed neural model completely bypasses the required number of electromagnetic computation in training for design of such types of antenna. Thus resulting is an extremely fast solution and the ANN is ten times lower than that needed during antenna optimization process and resulting with high accuracy. The simulated software (Zealand IE3D version 12.0) based on method of moments has been used to generate data for training and validation set of ANN. The results of proposed ANN model are compared with the simulated results which were in very good agreement with the simulated results.