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Optical neural net for classifying imaging spectrometer data

โœ Scribed by Barnard, Etienne ;Casasent, David P.


Book ID
115340293
Publisher
The Optical Society
Year
1989
Tongue
English
Weight
671 KB
Volume
28
Category
Article
ISSN
1559-128X

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The validation of input-data samples is a very important issue for neural-net applications if high precision is required. The aim is to make sure that a neural net properly trained on one data sample gives reliable results for another. Using the search for the standard Higgs boson at LEP-200 as an e