This paper presents a description of an evolutionary artificial neural network algorithm, EPNet and its extension taking advantage of a High Performance Computing Environment. PEPNet, Parallel EPNet, implements four forms of parallelism and this paper describes two of those parallelisms. Experimental studies have shown promising results with better time and prediction performance. © Springer-Verlag Berlin Heidelberg 1997.
|Title of host publication
|Proceedings of the 6th International Conference on Evolutionary Programming VI
|Peter J. ANGELINE, Robert G. REYNOLDS, John R. MCDONNELL, Russell C. EBERHART
|Springer-Verlag, Berlin, Heidelberg
|Number of pages
|Published - Apr 1997