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Implementation of Art1 and Art2 Artificial Neural Networks on Ring and Mesh Architectures

Ghare, Gaurav D and Patnaik, LM (1997) Implementation of Art1 and Art2 Artificial Neural Networks on Ring and Mesh Architectures. In: International Journal of High Speed Computing (IJHSC), 9 (1). pp. 41-56.

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Official URL: http://www.worldscinet.com/cgi-bin/details.cgi?id=...

Abstract

The Artificial Neural Networks (ANNs) are being used to solve a variety of problems in pattern recognition, robotic control, VLSI CAD and other areas. In most of these applications, a speedy response from the ANNs is imperative. However, ANNs comprise a large number of artificial neurons, and a massive interconnection network among them. Hence, implementation of these ANNs involves execution of computer-intensive operations. The usage of multiprocessor systems therefore becomes necessary. In this article, we have presented the implementation of ART1 and ART2 ANNs on ring and mesh architectures. The overall system design and implementation aspects are presented. The performance of the algorithm on ring, 2-dimensional mesh and n-dimensional mesh topologies is presented. The parallel algorithm presented for implementation of ART1 is not specific to any particular architecture. The parallel algorithm for ARTE is more suitable for a ring architecture.

Item Type: Journal Article
Additional Information: Copyright of this article belongs to World Scientific Publishing Company.
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 17 Aug 2009 08:47
Last Modified: 17 Aug 2009 08:47
URI: http://eprints.iisc.ernet.in/id/eprint/19611

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