A neural network model of hysteresis

dc.citation.epage	417	en_US
dc.citation.spage	412	en_US
dc.contributor.author	Wei, JD	en_US
dc.contributor.author	Sun, CT	en_US
dc.contributor.department	交大名義發表	zh_TW
dc.contributor.department	資訊工程學系	zh_TW
dc.contributor.department	National Chiao Tung University	en_US
dc.contributor.department	Department of Computer Science	en_US
dc.date.accessioned	2014-12-08T15:27:41Z
dc.date.available	2014-12-08T15:27:41Z
dc.date.issued	1996	en_US
dc.description.abstract	Hysteresis is an effect of memory, which is frequently observed in the realm of nature. The purpose of this paper is trying to understand more of it, such that we may achieve better performance from the systems which are hysteresis-embedded. A hypothesis-based neural network model is offered in this paper. We name it the Synchronous Delay Network (SDN) model. It can be realized as a feed-forward neural network. We also discuss the possible applications in this paper.	en_US
dc.identifier.isbn	0-7803-3687-9	en_US
dc.identifier.journal	SOFT COMPUTING IN INTELLIGENT SYSTEMS AND INFORMATION PROCESSING	en_US
dc.identifier.uri	https://ir.lib.nycu.edu.tw/handle/11536/19932
dc.identifier.wosnumber	WOS:A1996BH38J00069
dc.language.iso	en_US	en_US
dc.title	A neural network model of hysteresis	en_US
dc.type	Proceedings Paper	en_US

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