ARTIFICIAL NEURAL NETWORKS IN THE SOLUTION OF INVERSE ELECTROMAGNETIC-FIELD PROBLEMS

被引:60
作者
HOOLE, SRH
机构
[1] Department of Engineering, Harvey Mudd College, Claremont, CA
关键词
D O I
10.1109/20.250786
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
In an inverse electromagnetic field problem, we are asked to determine those values of the descriptive parameters of the device that would give us a required performance. In this paper, the use of artificial neural networks in the solution of inverse electromagnetic field problems is investigated. It is shown that artificial neural networks, while being no panacea, have a role to play in a limited domain of applications. That is, while it is ineffective to train networks to cover a broad class of devices, it is indeed possible to develop well-trained networks that function effectively over a narrow range of performance of a particular class of device.
引用
收藏
页码:1931 / 1934
页数:4
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