Adaptative time constants improve the prediction capability of recurrent neural networks

Simple item page
dc.contributor.authorJean-Philippe Draye
dc.contributor.authorDavor Pavisic
dc.contributor.authorGuy Chéron
dc.contributor.authorG. Libert
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T15:41:34Z
dc.date.available2026-03-22T15:41:34Z
dc.date.issued1995
dc.descriptionCitaciones: 10
dc.identifier.doi10.1007/bf02311573
dc.identifier.urihttps://doi.org/10.1007/bf02311573
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/53853
dc.language.isoen
dc.publisherSpringer Science+Business Media
dc.relation.ispartofNeural Processing Letters
dc.sourceUniversity of Mons
dc.subjectArtificial neural network
dc.subjectComputer science
dc.subjectRecurrent neural network
dc.subjectChaotic
dc.subjectComputational intelligence
dc.subjectArtificial intelligence
dc.subjectSet (abstract data type)
dc.subjectConstant (computer programming)
dc.subjectSIGNAL (programming language)
dc.subjectTime constant
dc.titleAdaptative time constants improve the prediction capability of recurrent neural networks
dc.typearticle

Files

Collections

Artículo Científico Publicado