Convergence and stability of the FSR CNN model

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

doi:10.1109/CNNA.1994.381640

Ponencia

dc.creator	Espejo Meana, Servando Carlos	es
dc.creator	Rodríguez Vázquez, Ángel Benito	es
dc.creator	Domínguez Castro, Rafael	es
dc.creator	Carmona Galán, Ricardo	es
dc.date.accessioned	2020-03-10T15:30:57Z
dc.date.available	2020-03-10T15:30:57Z
dc.date.issued	1994
dc.identifier.citation	Espejo Meana, S.C., Rodríguez Vázquez, Á.B., Domínguez Castro, R. y Carmona Galán, R. (1994). Convergence and stability of the FSR CNN model. En IEEE International Workshop on Cellular Neural Networks and their Applications (411-416), Roma, Italia: Institute of Electrical and Electronics Engineers.
dc.identifier.isbn	0-7803-2070-0	es
dc.identifier.uri	https://hdl.handle.net/11441/94083
dc.description.abstract	Stability and convergency results are reported for a modified continuous-time CNN model. The signal range of the state variables is equal to the unitary interval, independently of the application. Stability and convergency properties are similar to those of the original model and, for given templates and offset coefficients, the results are generally identical. In addition, robustness and area-efficiency of VLSI implementations are significantly advantageous.	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 411-416
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.title	Convergence and stability of the FSR CNN model	es
dc.type	info:eu-repo/semantics/conferenceObject	es
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.1994.381640	es
dc.identifier.doi	10.1109/CNNA.1994.381640	es
dc.publication.initialPage	411	es
dc.publication.endPage	416	es
dc.eventtitle	IEEE International Workshop on Cellular Neural Networks and their Applications	es
dc.eventinstitution	Roma, Italia	es

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