Patnaik, LM and Rao, RN (2001) Parallel implementation of neocognitron on star topology: Theoretical and experimental evaluation. In: Neurocomputing, 41 (1-4). pp. 109-124.
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Abstract
This paper presents the parallel implementation of the neocognitron neural network paradigm on star topology, A detailed theoretical timing analysis has been presented along with a comparison between the experimental and theoretical results. These studies demonstrate that a linear speedup can be achieved by mapping the neocognitron onto a star topology.
Item Type: | Journal Article |
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Publication: | Neurocomputing |
Publisher: | Elsevier Science |
Additional Information: | Copyright of this article belongs to Elsevier Science. |
Keywords: | Artificial neural networks;neocognitron;parallel architectures;parallel virtual machine (PVM);pattern recognition |
Department/Centre: | Division of Electrical Sciences > Electrical Engineering |
Date Deposited: | 04 Feb 2010 09:59 |
Last Modified: | 05 Nov 2018 11:27 |
URI: | http://eprints.iisc.ac.in/id/eprint/17213 |
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