10.25417/uic.12404360.v1
Danilo Erricolo
Danilo
Erricolo
Pai-Yen Chen
Pai-Yen
Chen
Anastasiia Rozhkova
Anastasiia
Rozhkova
Elahesadat Torabi
Elahesadat
Torabi
Hakan Bagci
Hakan
Bagci
Atif Shamim
Atif
Shamim
Xianglian Zhang
Xianglian
Zhang
Machine Learning in Electromagnetics: A Review and Some Perspectives for Future Research
University of Illinois at Chicago
2020
Keywords—Electromagnetics, Artificial Neural Network, Machine Learning, Deep Learning
Electrical and Electronic Engineering not elsewhere classified
2020-06-18 01:00:51
Conference contribution
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.