Weight-control strategy for programmable CNN chips

Espejo Meana, Servando Carlos; Domínguez Castro, Rafael; Rodríguez Vázquez, Ángel Benito; Carmona Galán, Ricardo

doi:10.1109/CNNA.1994.381641

Ponencia

dc.creator	Espejo Meana, Servando Carlos	es
dc.creator	Domínguez Castro, Rafael	es
dc.creator	Rodríguez Vázquez, Ángel Benito	es
dc.creator	Carmona Galán, Ricardo	es
dc.date.accessioned	2020-03-10T15:17:23Z
dc.date.available	2020-03-10T15:17:23Z
dc.date.issued	1994
dc.identifier.citation	Espejo Meana, S.C., Domínguez Castro, R., Rodríguez Vázquez, Á.B. y Carmona Galán, R. (1994). Weight-control strategy for programmable CNN chips. En IEEE International Workshop on Cellular Neural Networks and their Applications (405-410), Roma, Italia: Institute of Electrical and Electronics Engineers.
dc.identifier.isbn	0-7803-2070-0	es
dc.identifier.uri	https://hdl.handle.net/11441/94082
dc.description.abstract	This paper describes a hybrid weight-control strategy for the VLSI realization of programmable CNNs, based on automatic adaptation of analog control signals to levels specified by digital words. This approach merges the advantages of digital and analog programmability, achieving low areas and reduced number of control lines, simplifying the control and storage of the weight values, and eliminating their dependency on global process-parameter variations.	es
dc.format	application/pdf	es
dc.format.extent	6 p.	es
dc.language.iso	eng	es
dc.publisher	Institute of Electrical and Electronics Engineers	es
dc.relation.ispartof	IEEE International Workshop on Cellular Neural Networks and their Applications (1994), p 405-410
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.title	Weight-control strategy for programmable CNN chips	es
dc.type	info:eu-repo/semantics/conferenceObject	es
dcterms.identifier	https://ror.org/03yxnpp24
dc.type.version	info:eu-repo/semantics/acceptedVersion	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo	es
dc.relation.publisherversion	https://doi.org/10.1109/CNNA.1994.381641	es
dc.identifier.doi	10.1109/CNNA.1994.381641	es
dc.publication.initialPage	405	es
dc.publication.endPage	410	es
dc.eventtitle	IEEE International Workshop on Cellular Neural Networks and their Applications	es
dc.eventinstitution	Roma, Italia	es

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