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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
Published in:
Magnetics, IEEE Transactions on
(Volume:36
,
Issue:
4
)
Date of Publication: Jul 2000
- Page(s):
- 1080 - 1084
- ISSN :
- 0018-9464
- INSPEC Accession Number:
- 6774154
- Digital Object Identifier :
- 10.1109/20.877628
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Jul 2000
- Sponsored by :
- IEEE Magnetics Society
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