Paper Title
Designing of Microstrip Patch Antenna using Artificial Neural Networks and Antenna Toolbox

Abstract
This paper provides microstrip patch antenna design using artificial neural networks with enhanced back-propagation algorithm for calculating the design parameters, as the dimensions of the antenna is the major limitation in any application. The antenna dimensions are calibrated using MATLAB R2021a with the help of mean square value which is generated using the algorithm. The antenna is designed and simulated using the antenna toolbox and HFSS v15. The performance of the antenna is compared in both the simulation softwares in the frequency ranging 1GHz to 5GHz with a critical frequency of 2.5GHz. The antenna is tested for return loss, VSWR, gain, impedance and radiation pattern with FR4_Epoxy, Rogers RT Duroid 5880™, Rogers RO 003™ and Rogers RO 3003™ as substrates . The Back Propagation training algorithm is incorporated in the calculations to minimise the errors and computational time. The dimensions obtained using ANN are simulated using MATLAB with the help of an antenna toolbox as well as HFSSv15. Keywords - Microstrip Antennas, Artificial Neural Networks, Back Propagation, MATLAB, Antenna Toolbox, HFSS