PEPNet: Parallel Evolutionary Programming for Constructing Artificial Neural Networks

Gerrit A. RIESSEN, Graham J. WILLIAMS, Xin YAO

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

9 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationProceedings of the 6th International Conference on Evolutionary Programming VI
EditorsPeter J. ANGELINE, Robert G. REYNOLDS, John R. MCDONNELL, Russell C. EBERHART
PublisherSpringer-Verlag, Berlin, Heidelberg
Number of pages11
ISBN (Print)9783540627883
Publication statusPublished - Apr 1997
Externally publishedYes


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