SOLUTION OF INVERSE PROBLEMS IN ELECTROMAGNETICS USING HOPFIELD NEURAL NETWORKS

被引：40

作者：

ELSHAFIEY, I ^{[1
]}

UDPA, L ^{[1
]}

UDPA, SS ^{[1
]}

机构：

[1] IOWA STATE UNIV SCI & TECHNOL,DEPT ELECT ENGN & COMP ENGN,AMES,IA 50010

来源：

IEEE TRANSACTIONS ON MAGNETICS | 1995年 / 31卷 / 01期

关键词：

D O I：

10.1109/20.364586

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：

Inverse problems are encountered in many fields of science and engineering. In electromagnetics, for example, inverse problems may involve the reconstruction of the source or scatterer on the basis of information contained in electromagnetic measurements. In general, the measurements can be related to the scatterer via integral equations. This paper presents a neural network approach for solving the inverse problem associated with such equations. Results of implementing the method on an application problem are presented.

引用

页码：852 / 861

页数：10

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