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Optical neural net for classifying imaging spectrometer dataThe problem of determining the composition of an unknown input mixture from its measured spectrum, given the spectra of a number of elements, is studied. The Hopfield minimization procedure was used to express the determination of the compositions as a problem suitable for solution by neural nets. A mathematical description of the problem was developed and used as a basis for a neural network solution and an optical implementation.
Document ID
19890062973
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Barnard, Etienne
(Carnegie-Mellon Univ. Pittsburgh, PA, United States)
Casasent, David P.
(Carnegie-Mellon University Pittsburgh, PA, United States)
Date Acquired
August 14, 2013
Publication Date
August 1, 1989
Publication Information
Publication: Applied Optics
Volume: 28
ISSN: 0003-6935
Subject Category
Cybernetics
Accession Number
89A50344
Funding Number(s)
CONTRACT_GRANT: N00014-86-K-0599
CONTRACT_GRANT: JPL-958097
Distribution Limits
Public
Copyright
Other

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