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Proceedings Paper

Implementation of the adaptive resonance theory (ART1) architecture on a CNAPS neurocomputer
Author(s): Kanchitpol Ratanapan; Cihan H. Dagli
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Paper Abstract

This study reports the attempt being made to implement adaptive resonance theory (ART) neural network architecture on Adaptive Solution Inc. CNAPSR Neuro-Computer. The architecture is being implemented on a single instruction, multiple data (SIMD) parallel computer, having 256 processors. CNAPS-C language, modified ANSI C having parallel construction, is used in generating the ART code. Five important issues in the implementation are addressed. The performance of the implementation is used to bench-mark against the sequential version using standard data sets.

Paper Details

Date Published: 6 April 1995
PDF: 7 pages
Proc. SPIE 2492, Applications and Science of Artificial Neural Networks, (6 April 1995); doi: 10.1117/12.205171
Show Author Affiliations
Kanchitpol Ratanapan, Univ. of Missouri/Rolla (United States)
Cihan H. Dagli, Univ. of Missouri/Rolla (United States)

Published in SPIE Proceedings Vol. 2492:
Applications and Science of Artificial Neural Networks
Steven K. Rogers; Dennis W. Ruck, Editor(s)

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