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. © 2010 Springer-Verlag.
Cite
CITATION STYLE
APA
Bilski, J., & Smola̧g, J. (2010). Parallel realisation of the recurrent Elman neural network learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6114 LNAI, pp. 19–25). https://doi.org/10.1007/978-3-642-13232-2_3
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