Abstract
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.
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References
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© 1997 Springer-Verlag Berlin Heidelberg
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Riessen, G.A., Williams, G.J., Yao, X. (1997). PEPNet: Parallel evolutionary programming for constructing artificial neural networks. In: Angeline, P.J., Reynolds, R.G., McDonnell, J.R., Eberhart, R. (eds) Evolutionary Programming VI. EP 1997. Lecture Notes in Computer Science, vol 1213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0014799
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DOI: https://doi.org/10.1007/BFb0014799
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