Accession Number : ADA268881
Title : Optical Associative Processors and Directed Graphs.
Descriptive Note : Final rept. Nov 92-Aug 93,
Corporate Author : CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF ELECTRICAL AND COMPUTER ENGINEERIN G
Personal Author(s) : Casasent, David
Report Date : AUG 1993
Pagination or Media Count : 189
Abstract : The thrust of this research concerns associative processors. Many new aspects exist in this effort: large storage capacity, use of storage density as a measure of efficiency, use of new output recollection vector encoding schemes, general 1:1 and pattern recognition many:1 associative, processors, new algorithms and architectures and applications and laboratory realization. We have devised a new higher-order neutral network concept with increased many:one pattern recognition performance. We have also demonstrated a new technique to improve neural network storage capacity and performance by modeling various nonideal components and accuracy during synthesis.
Descriptors : *OPTICAL PROCESSING, *ASSOCIATIVE PROCESSING, ACCURACY, ALGORITHMS, CODING, DENSITY, EFFICIENCY, NEURAL NETS, NEUTRAL, OUTPUT, PATTERN RECOGNITION, PATTERNS, STORAGE.
Subject Categories : Computer Hardware
Electrooptical and Optoelectronic Devices
Distribution Statement : APPROVED FOR PUBLIC RELEASE