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Machine Learning in Electromagnetics: A Review and Some Perspectives for Future Research
Conference proceeding

Machine Learning in Electromagnetics: A Review and Some Perspectives for Future Research

Danilo Erricolo, Pai-Yen Chen, Anastasiia Rozhkova, Elahehsadat Torabi, Hakan Bagci, Atif Shamim, Xianglian Zhang and IEEE
PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON ELECTROMAGNETICS IN ADVANCED APPLICATIONS (ICEAA), pp.1377-1380
01/01/2019

Abstract

Engineering Engineering, Electrical & Electronic Science & Technology Technology
We review machine learning and its applications in a wide range of electromagnetic problems, including radar, communication, imaging and sensing. We extensively discuss some recent progress in development and use of intelligent algorithms for antenna design, synthesis, and characterization. We also provide some perspectives for future research directions in this emerging field of study.

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