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dc.contributor.authorWei, JDen_US
dc.contributor.authorSun, CTen_US
dc.date.accessioned2014-12-08T15:27:41Z-
dc.date.available2014-12-08T15:27:41Z-
dc.date.issued1996en_US
dc.identifier.isbn0-7803-3687-9en_US
dc.identifier.urihttp://hdl.handle.net/11536/19932-
dc.description.abstractHysteresis 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.language.isoen_USen_US
dc.titleA neural network model of hysteresisen_US
dc.typeProceedings Paperen_US
dc.identifier.journalSOFT COMPUTING IN INTELLIGENT SYSTEMS AND INFORMATION PROCESSINGen_US
dc.citation.spage412en_US
dc.citation.epage417en_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.departmentNational Chiao Tung Universityen_US
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:A1996BH38J00069-
Appears in Collections:Conferences Paper