Accelerated Antenna Design Assisted by Enhanced Machine Learning Techniques

摘要

This paper provides an approach to design an antenna in an efficient way using machine learning techniques. The process of designing an antenna can be accelerated using Machine Learning (ML). Conventional Antenna Design process is very time consuming because of the numerical methods used in the process are complex and computationally heavy. Hence in this work we gave an efficient way to design an antenna and to predict the possible antenna behaviour, reducing the complexities in the traditional approach. Fast prediction of design parameters with reduced number of simulations was achieved by applying ML methods including Random Forests and Artificial Neural Networks (ANN). In this paper, an enhanced and optimized process of designing an Antenna was discussed which has many advantages over the existing work. The proposed work provides a better computational efficiency with less number of necessary simulations.