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Electromagnetic field parallel computation with a Hopfield neural network

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3 Author(s)
Kant, J.-D. ; Ecole Nat. Superieure des Telecommun. de Bretagne, Brest, France ; Le Drezen, J. ; Bigeon, J.

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

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Magnetics, IEEE Transactions on  (Volume:31 ,  Issue: 3 )