About: Applications of photorefractive crystals for optical neural networks

Documentation

scienceplus.abes.fr version Bêta

scienceplus.abes.fr | explorer

À propos de : Applications of photorefractive crystals for optical neural networks Goto Sponge NotDistinct Permalink

Attributs	Valeurs
type	work Article
Is Part Of	http://hub.abes.fr/springer/periodical/11082/1993/volume_25/issue_9/w
Title	Applications of photorefractive crystals for optical neural networks
has manifestation of work	http://hub.abes.fr/springer/periodical/11082/1993/volume_25/issue_9/B916A09733845B9BE053120B220A19A2/m/print http://hub.abes.fr/springer/periodical/11082/1993/volume_25/issue_9/B916A09733845B9BE053120B220A19A2/m/web
related by	http://hub.abes.fr/springer/periodical/11082/1993/volume_25/issue_9/B916A09733845B9BE053120B220A19A2/authorship/1
Author	http://hub.abes.fr/springer/periodical/11082/1993/volume_25/issue_9/B916A09733845B9BE053120B220A19A2/hongj
Abstract	Abstract. Photorefraction is a nonlinear optical effect in which large nonlinearities can be observed at relatively low optical power levels. This phenomenon has evolved from a laboratory curiosity to a useful device technology for optical information processing applications. In particular, the abilities to form holograms in real time and also to store thern for extended periods of time have aided the implementation of several pattern-reccgnition machines that are adaptive and possess a high degree of parallelism. This paper reviews the photorefractive effect as a device technology for the problem of pattern recognition and describes a photorefractive realization of an adaptive pattern classifier.
article type	OriginalPaper Papers
publisher identifier	BF00444330
Date Copyrighted	1993
Rights Holder	Chapman & Hall
is part of this journal	Opto-electronics

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata