Parallel implementation of neocognitron on star topology: Theoretical and experimental evaluation

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.

PDF Parallel.pdf - Published Version Restricted to Registered users only Download (183kB) | Request a copy

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
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

Actions (login required)

View Item