CONDITIONAL CONVERGENCE OF PHOTOREFRACTIVE PERCEPTRON LEARNING

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DC 欄位	值	語言
dc.contributor.author	HSU, KY	en_US
dc.contributor.author	LIN, SH	en_US
dc.contributor.author	YEH, P	en_US
dc.date.accessioned	2014-12-08T15:04:14Z	-
dc.date.available	2014-12-08T15:04:14Z	-
dc.date.issued	1993-12-15	en_US
dc.identifier.issn	0146-9592	en_US
dc.identifier.uri	http://dx.doi.org/10.1364/OL.18.002135	en_US
dc.identifier.uri	http://hdl.handle.net/11536/2743	-
dc.description.abstract	We consider the convergence characteristics of a perceptron learning algorithm, taking into account the decay of photorefractive holograms during the process of interconnection weight changes. As a result of the hologram erasure, the convergence of the learning process is dependent on the exposure time during the weight changes. A mathematical proof of the conditional convergence, as well as computer simulations of the photorefractive perceptrons, is presented and discussed.	en_US
dc.language.iso	en_US	en_US
dc.title	CONDITIONAL CONVERGENCE OF PHOTOREFRACTIVE PERCEPTRON LEARNING	en_US
dc.type	Article	en_US
dc.identifier.doi	10.1364/OL.18.002135	en_US
dc.identifier.journal	OPTICS LETTERS	en_US
dc.citation.volume	18	en_US
dc.citation.issue	24	en_US
dc.citation.spage	2135	en_US
dc.citation.epage	2137	en_US
dc.contributor.department	光電工程學系	zh_TW
dc.contributor.department	Department of Photonics	en_US
dc.identifier.wosnumber	WOS:A1993MP68400017	-
dc.citation.woscount	7	-
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