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Optical neural net for classifying imaging spectrometer data

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Abstract

A problem in surface mineralogy is addressed; namely, how does one determine the composition of a mixture from its spectrum? A neural net algorithm arises naturally, and we detail the state equations of this net. An optical architecture and simulation results are presented.

© 1989 Optical Society of America

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