APPLICATION OF NEURAL NETWORKS TO INVERSE PROBLEMS IN ELECTROMAGNETICS

被引：13

作者：

ELSHAFIEY, I

UDPA, LI

UDPA, SS

机构：

[1] Department of Electrical and Computer Engineering, Iowa State University, Ames, Iowa

来源：

IEEE TRANSACTIONS ON MAGNETICS | 1994年 / 30卷 / 05期

关键词：

D O I：

10.1109/20.312725

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 paper presents a neural network approach for solving inverse problems in electromagnetics. In general, the measurements of the scattered electromagnetic fields can be related to the properties of the scatterer through integral equations. The energy minimization property of Hopfleld neural networks is exploited to solve these integral equations. Results of implementing the method on an application problem involving reconstruction of material properties of multilayered media are presented.

引用

页码：3629 / 3632

页数：4

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