Fast and Intelligent Antenna Design Optimization using Machine Learning

Gopinath Gampala and C.J. Reddy

Abstract—Traditional antenna optimization solves the
modified version of the original antenna design for each iteration.
Thus, the total time required to optimize a given antenna design is
highly dependent on the convergence criteria of the selected
algorithm and the time taken for each iteration. The use of
machine learning enables the antenna designer to generate trained
mathematical model that replicates the original antenna design
and then apply optimization on the trained model. Use of trained
model allows to run thousands of optimization iterations in a span
of a few seconds

About Rahul Ponginan

Technical Manager - Academic Program
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