Machine Learning in Electromagnetics: A Review and Some Perspectives for Future Research
Danilo Erricolo
Pai-Yen Chen
Anastasiia Rozhkova
Elahesadat Torabi
Hakan Bagci
Atif Shamim
Xianglian Zhang
10.25417/uic.12404360.v1
https://indigo.uic.edu/articles/conference_contribution/Machine_Learning_in_Electromagnetics_A_Review_and_Some_Perspectives_for_Future_Research/12404360
We review machine learning and its applications in<br>a wide range of electromagnetic problems, including radar,<br>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.
2020-06-18 01:00:51
Keywords—Electromagnetics, Artificial Neural Network, Machine Learning, Deep Learning
Electrical and Electronic Engineering not elsewhere classified