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Optical neural net for classifying imaging spectrometer data
- Source :
- Applied Optics. 28
- Publication Year :
- 1989
- Publisher :
- United States: NASA Center for Aerospace Information (CASI), 1989.
-
Abstract
- The 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.
- Subjects :
- Cybernetics
Subjects
Details
- Language :
- English
- ISSN :
- 00036935
- Volume :
- 28
- Database :
- NASA Technical Reports
- Journal :
- Applied Optics
- Notes :
- N00014-86-K-0599, , JPL-958097
- Publication Type :
- Report
- Accession number :
- edsnas.19890062973
- Document Type :
- Report