The Explosion of Artificial Intelligence in Antennas and Propagation

被引:34
作者
Campbell, Sawyer D. [1 ]
Jenkins, Ronald P. [1 ]
O'Connor, Philip J. [2 ]
Werner, Douglas H. [1 ]
机构
[1] Penn State Univ, University Pk, PA 16802 USA
[2] Penn State Univ, Dept Elect Engn, University Pk, PA 16802 USA
关键词
NEURAL-NETWORKS; COMPUTATIONAL ELECTROMAGNETICS; OPTIMIZATION; INVERSION; DESIGN;
D O I
10.1109/MAP.2020.3021433
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The rise and proliferation of artificial intelligence (AI) has the potential to influence and disrupt many aspects of society, including antennas and propagation. This article provides information about he current state of the art (SOA) on applications of deep learning (DL) in problems of interest to the IEEE Antennas and Propagation Society (AP-S) community. A number of resources are provided to assist researchers to start using DL in their own research. Researchers also provide an outlook on DL’s potential impact on the AP-S as well as how exciting new hardware advancements may lead to significant improvements in the way we currently perform computational electromagnetic (CEM) simulations.
引用
收藏
页码:16 / 27
页数:12
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