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Proceedings Paper

Optical Neural Net And Symbolic Substitution Production System
Author(s): Elizabeth Botha; David Casasent
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Paper Abstract

New optical neural net and symbolic substitution production system architectures are described. Several new learning aspects of these architectures are noted and initial results obtained with a multiple object/part identification problem are noted as demonstrations of optical symbolic filters and production systems.

Paper Details

Date Published: 27 March 1989
PDF: 11 pages
Proc. SPIE 1002, Intelligent Robots and Computer Vision VII, (27 March 1989); doi: 10.1117/12.960285
Show Author Affiliations
Elizabeth Botha, Carnegie Mellon University (United States)
David Casasent, Carnegie Mellon University (United States)


Published in SPIE Proceedings Vol. 1002:
Intelligent Robots and Computer Vision VII
David P. Casasent, Editor(s)

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