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dc.contributor.authorMartínez Álvarez, José Javier 
dc.contributor.authorFerrández Vicente, José Manuel 
dc.contributor.authorToledo Moreo, Francisco Javier 
dc.date.accessioned2010-11-12T13:44:28Z
dc.date.available2010-11-12T13:44:28Z
dc.date.issued2007-04
dc.identifier.citationMARTÍNEZ ÁLVAREZ, J. Javier, TOLEDO MOREO, F. Javier, FERRÁNDEZ VICENTE, J. Manuel. Discrete-time cellular neural networks in FPGA. En: Annual IEEE Symposium on Field-Programmable Custom Computing Machines (15º: 2007: Napa, California). Proceedings: 15th Annual IEEE Symposium on Field-Programmable Custom Computing Machines. FCCM 2007, 23-25 April 2007 Napa, California. Los Alamitos, California: IEEE Computer Society. 2007. 293 - 294 p. ISBN 978-0-7695-2940-0es
dc.identifier.isbn978-0-7695-2940-0
dc.description.abstractThis paper describes a novel architecture for the hardware implementation of non-linear multi-layer cellular neural networks. This makes it feasible to design CNNs with millions of neurons accommodated in low price FPGA devices, being able to process standard video in real time.es
dc.description.sponsorshipThis research has been funded by MTyAS of Spain, IMSERSO RETVIS 150/06.es
dc.formatapplication/pdf
dc.language.isoenges
dc.publisherIEEE Computer Societyes
dc.rightsCopyright © 2007 IEEEes
dc.titleDiscrete-time cellular neural networks in FPGAes
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.subjectArquitectura de hardwarees
dc.subjectSistemas de tiempo discretoes
dc.subjectCampo de las matrices de puerta programablees
dc.subjectPerceptrones multicapaes
dc.subjectChip neuronaleses
dc.subjectArquitectura de red neuronales
dc.subjectFPGAes
dc.subjectHardware arquitecturees
dc.subjectDiscrete time systemes
dc.subjectField programmable gate arrayes
dc.subjectMultilayer perceptrones
dc.subjectNeural chipes
dc.subjectNeural net architecturees
dc.subject.otherArquitectura y Tecnología de Computadorases
dc.identifier.urihttp://hdl.handle.net/10317/1421
dc.contributor.investgroupGrupo de Diseño Electrónico y Técnicas de Tratamiento de señales
dc.identifier.doi10.1109/FCCM.2007.25


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