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Higher-Order Neural Networks Recognize PatternsNetworks of higher order have enhanced capabilities to distinguish between different two-dimensional patterns and to recognize those patterns. Also enhanced capabilities to "learn" patterns to be recognized: "trained" with far fewer examples and, therefore, in less time than necessary to train comparable first-order neural networks.
Document ID
19960017847
Acquisition Source
Legacy CDMS
Document Type
Other - NASA Tech Brief
Authors
Reid, Max B.
(NASA Ames Research Center, Moffett Field, CA.)
Spirkovska, Lilly
(NASA Ames Research Center, Moffett Field, CA.)
Ochoa, Ellen
(NASA Ames Research Center, Moffett Field, CA.)
Date Acquired
August 17, 2013
Publication Date
February 1, 1996
Publication Information
Publication: NASA Tech Briefs
Volume: 20
Issue: 2
ISSN: 0145-319X
Subject Category
Electronic Systems
Report/Patent Number
ARC-11961
Accession Number
96B10057
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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