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Competitive neural architecture for hardware solution to the assignment problemThe architecture for competitive assignment is described with attention given to the VLSI design and critical circuits fabricated in complementary metal-oxide semiconductor. The local application of association costs to processing units reduces the connectivity to the number of VLSI-compatible processing units. 'Hysteretic annealing' is discussed and when compared to mean-field annealing is found to enhance processing-unit gain and provide near-optimal solutions in about 150 microsec.
Document ID
19920037227
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Eberhardt, S. P.
(California Inst. of Tech. Pasadena, CA, United States)
Daud, T.
(California Inst. of Tech. Pasadena, CA, United States)
Kerns, D. A.
(California Inst. of Tech. Pasadena, CA, United States)
Brown, T. X.
(California Inst. of Tech. Pasadena, CA, United States)
Thakoor, A. P.
(California Institute of Technology Pasadena, United States)
Date Acquired
August 15, 2013
Publication Date
January 1, 1991
Publication Information
Publication: Neural Networks
Volume: 4
ISSN: 0893-6080
Subject Category
Computer Operations And Hardware
Accession Number
92A19851
Distribution Limits
Public
Copyright
Other

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