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Multi-channel holographic birfurcative neural network system for real-time adaptive EOS data analysisViewgraphs on multi-channel holographic bifurcative neural network system for real-time adaptive Earth Observing System (EOS) data analysis are presented. The objective is to research and develop an optical bifurcating neuromorphic pattern recognition system for making optical data array comparisons and to evaluate the use of the system for EOS data classification, reduction, analysis, and other applications.
Document ID
19930020042
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Liu, Hua-Kuang
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Diep, J.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Huang, K.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
September 6, 2013
Publication Date
July 24, 1991
Publication Information
Publication: NASA. Washington, Applied Information Systems Research Program Workshop
Subject Category
Documentation And Information Science
Accession Number
93N29231
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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