ANN inverse mapping technique applied to electromagnetic design

Author

Belfore, L.A., II. ; Arkadan, A.A. ; Lenhardt, B.M.

Author_Institution

Dept. of Electr. & Comput. Eng., Old Dominion Univ., Norfolk, VA, USA

Volume

37

Issue

5

fYear

2001

fDate

9/1/2001 12:00:00 AM

Firstpage

3584

Lastpage

3587

Abstract

This paper examines the use of inverse mapping for the design of electromagnetic devices whose performance is described by an artificial neural network (ANN). In cases where the function describing the inverse problem is ill-conditioned, it may be very difficult to train a neural network to learn the inverse problem. In these cases, an iterative method based on an inverse mapping technique may be employed. When provided with the desired output vector, this method uses backpropagation to train (solve) for the unknown parameters in the input vector. The results of using the ANN based inverse mapping approach in the design optimization of a hollow transmission line are presented

Keywords

CAD; backpropagation; electrical engineering computing; electromagnetic devices; inverse problems; iterative methods; neural nets; optimisation; ANN inverse mapping technique; EM device design; artificial neural network; backpropagation; design optimization; electromagnetic design; electromagnetic devices; hollow transmission line; inverse problem; iterative method; Artificial neural networks; Backpropagation algorithms; Design methodology; Design optimization; Electromagnetic analysis; Electromagnetic devices; Inverse problems; Iterative methods; Neurons; Transmission lines;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/20.952667

Filename

952667