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
Etienne Barnard and David P. Casasent, "Optical neural net for classifying imaging spectrometer data," Appl. Opt. 28, 3129-3133 (1989)