Autonomous learning by simple dynamical systems with delayed feedback

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dc.conicet.fuenteindividual
dc.conicet.organizacionUniversidad Nacional de Cuyo. Facultad de Ciencias Exactas y Naturales
dc.conicet.organizacionConsejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza
dc.conicet.organizacionMax Planck. Fritz Haber Institut. Abteilung Physikalische Chemie
dc.conicet.paisOrganizacionArgentina
dc.conicet.paisOrganizacionArgentina
dc.conicet.paisOrganizacionAlemania
dc.conicet.produccionid5114260
dc.contributor.authorKaluza, Pablo Federico
dc.contributor.authorMikhailov, Alexander S.
dc.date.accessioned2018-01-04T18:34:14Z
dc.date.available2018-01-04T18:34:14Z
dc.date.issued2014-09
dc.date.updated2018-01-03T19:58:23Z
dc.description.abstractA general scheme for the construction of dynamical systems able to learn generation of the desired kinds of dynamics through adjustment of their internal structure is proposed. The scheme involves intrinsic time-delayed feedback to steer the dynamics towards the target performance. As an example, a system of coupled phase oscillators, which can, by changing the weights of connections between its elements, evolve to a dynamical state with the prescribed (low or high) synchronization level, is considered and investigated.es
dc.description.filFil: Kaluza, Pablo Federico. Universidad Nacional de Cuyo. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina
dc.description.filFil: Mikhailov, Alexander S.. Max Planck. Fritz Haber Institut. Abteilung Physikalische Chemie; Alemania
dc.formatapplication/pdfes
dc.identifier.citationKaluza, Pablo Federico; Mikhailov, Alexander S.; Autonomous learning by simple dynamical systems with delayed feedback; American Physical Society; Physical Review E: Statistical, Nonlinear and Soft Matter Physics; 90; 3; 9-2014es
dc.identifier.eissn2470-0053es
dc.identifier.institucionalCONICET
dc.identifier.issn1539-3755es
dc.identifier.repoCONICET Digital
dc.identifier.urihttp://hdl.handle.net/11336/32341
dc.journal.ciudadNueva Yorkes
dc.journal.number3es
dc.journal.paisEstados Unidoses
dc.journal.titlePhysical Review E: Statistical, Nonlinear and Soft Matter Physicses
dc.journal.volume90es
dc.language.isoenges
dc.publisherAmerican Physical Societyes
dc.relation.alternativeidinfo:eu-repo/semantics/altIdentifier/url/https://journals.aps.org/pre/abstract/10.1103/PhysRevE.90.030901
dc.relation.alternativeidinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1103/PhysRevE.90.030901
dc.rightsinfo:eu-repo/semantics/openAccess*
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/*
dc.subjectAutonomouses
dc.subjectLearninges
dc.subjectPhasees
dc.subjectOscillatorses
dc.subject.classificationAstronomíaes
dc.subject.classificationCiencias Físicases
dc.subject.classificationCIENCIAS NATURALES Y EXACTASes
dc.titleAutonomous learning by simple dynamical systems with delayed feedbackes
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion

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