A neural network inversion algorithm for electromagnetic device design

Iliana Marinova, Christo Panchev, D Katsakos

Research output: Contribution to journalArticle

Abstract

In this paper we present a new model that employs, in a natural and effective way, a neural network inversion algorithm providing a solution of the electromagnetic device design problem. The model combines two types of artificial neural networks and applies a neural network inversion algorithm. Further development of this model can propose an efficient solution to the electromagnetic device design problem. The model is applied to the magnetic stimulation coil design as well as gradient coil design. The results obtained show the effectiveness of the proposed model
Original languageEnglish
Pages (from-to)1080-1084
Number of pages5
JournalIEEE Transactions on Magnetics
Volume36
Issue number4
DOIs
Publication statusPublished - Jul 2000
Externally publishedYes

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