Machine Learning in Electromagnetics: A Review and Some Perspectives for Future Research
conference contribution
posted on 18.06.2020, 01:00 by Danilo Erricolo, Pai-Yen Chen, Anastasiia Rozhkova, Elahesadat Torabi, Hakan Bagci, Atif Shamim, Xianglian ZhangWe 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.
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.