DocumentCode
763170
Title
Electromagnetic field parallel computation with a Hopfield neural network
Author
Kant, Jean-Daniel ; Le Drezen, Jo ; Bigeon, Jean
Author_Institution
Ecole Nat. Superieure des Telecommun. de Bretagne, Brest, France
Volume
31
Issue
3
fYear
1995
fDate
5/1/1995 12:00:00 AM
Firstpage
1968
Lastpage
1971
Abstract
In this paper, we study the feasibility of computing the electromagnetic field in real situations with an artificial neural network, in order to speed up computation. Simulations of our method are presented. We also propose an implementation on an efficient hardware parallel architecture
Keywords
Hopfield neural nets; electromagnetic fields; electrostatics; magnetostatics; parallel processing; Hopfield neural network; artificial neural network; electromagnetic field; hardware parallel architecture; parallel computation; Boundary conditions; Computer architecture; Computer networks; Concurrent computing; Electromagnetic fields; Hardware; Hopfield neural networks; Magnetostatics; Maxwell equations; Parallel architectures;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/20.376427
Filename
376427
Link To Document