Machine Learning Based Computational Electromagnetic Methods for Intelligence CAD/CAE Application

Abstract

The key issues of combined electrodynamic methods construction in relation to the analysis of antenna systems and microwave elements are considered. Based on combined methods, the general algorithms of the analysis and functioning of modern CAD in the field of electrodynamic modeling are constructed. Further development of computer technologies shows trends towards the creation of intelligent CAD/CAE systems using Machine Learning to automate computing processes. In this paper, we propose to consider three levels of intelligence achieved in the development of CAD entirely on the organizational principles of Artificial Intelligence systems using both formal and heuristic design procedures.