ANALYSIS OF DIRECTIVITY AND BANDWIDTH OF COAXIAL FEED SQUARE MICROSTRIP PATCH ANTENNA USING ARTIFICIAL NEURAL NETWORK

N this paper the use of artificial neural network for the estimation of Directivity and Bandwidth of coaxial feed square shaped microstrip patch antenna is presented. Multilayer Perceptron Feedforward Back Propagation Network (MLPFFBP - ANN) with Levenberg - Marquardt (L - M) training algorithms has been used in order to implement the neural network model. The results obtained from the Artificial Neural Network Model are equated with the results obtained from the Computer Simulation Technology (CST) Studio Software, and the results show satisfactory agreement, and also it is noted that the neural network model is not trained very well using one hidden layer so more than one hidden layers are used for training the neural network model.