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Proceedings Paper

Application of highly parallel computing hardware to pattern recognition problems
Author(s): Kevin L. Priddy; Karl Mathia; Timothy Robinson; Robert M. Pap
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Paper Abstract

Neural networks are well known for their ability to perform pattern recognition tasks. This paper discusses the use of parallel neural network hardware for performing pattern recognition tasks. We address the need for neural network hardware and how it can dramatically improve system performance both in training and in actual applications. The use of specialized parallel processing hardware is discussed as well as alternative hardware and software approaches. Finally we give some comparisons between multi-processor computer architecture, Pentium class microcomputers and custom hardware.

Paper Details

Date Published: 4 April 1997
PDF: 12 pages
Proc. SPIE 3077, Applications and Science of Artificial Neural Networks III, (4 April 1997); doi: 10.1117/12.271485
Show Author Affiliations
Kevin L. Priddy, Accurate Automation Corp. (United States)
Karl Mathia, Accurate Automation Corp. (United States)
Timothy Robinson, Accurate Automation Corp. (United States)
Robert M. Pap, Accurate Automation Corp. (United States)

Published in SPIE Proceedings Vol. 3077:
Applications and Science of Artificial Neural Networks III
Steven K. Rogers, Editor(s)

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