Parallel realisation of the recurrent Elman neural network learning

Authors:
Jarosław Bilski;Jacek Smoląg
Affiliations:
Department of Computer Engineering, Częstochowa University of Technology, Częstochowa, Poland;Department of Computer Engineering, Częstochowa University of Technology, Częstochowa, Poland
Venue:
ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
Year:
2010

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Abstract

The aim of this paper is to present a parallel architecture of Elman Recurrent Network learning algorithm. The solution is based on the high parallel cuboid structure to speed up computation. Parallel neural network structures are explicitly presented and the performance discussion is included.