Abstract
The operational characteristics of a simple model of a translation invariant second-order discriminator, such as fault and noise tolerance, are investigated. A particular optical implementation, which exploits the features of the model suited to optics, is detailed and the operation of the system described.
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© 1990 Springer Science+Business Media Dordrecht
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Horan, P., Uecker, D., Arimoto, A. (1990). Operating Characteristics of a Second-Order Neural Network Classifier System. In: International Neural Network Conference. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0643-3_25
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DOI: https://doi.org/10.1007/978-94-009-0643-3_25
Publisher Name: Springer, Dordrecht
Print ISBN: 978-0-7923-0831-7
Online ISBN: 978-94-009-0643-3
eBook Packages: Springer Book Archive