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dc.rights.licenseAl consultar y hacer uso de este recurso, está aceptando las condiciones de uso establecidas por los autores.es_CO
dc.contributor.advisorCorreal Núñez, María Elsa
dc.contributor.advisorNino, Juan Claudio
dc.contributor.advisorValencia Arboleda, Carlos Felipe 
dc.contributor.authorSuárez Usme, Laura Estefany
dc.coverage.spatialBogotáes_CO
dc.date.accessioned2018-09-28T10:58:22Z
dc.date.available2018-09-28T10:58:22Z
dc.date.issued2017es_CO
dc.identifier.urihttp://hdl.handle.net/1992/13855
dc.descriptionilustraciones a colores_CO
dc.descriptionIncluye referencias bibliográficases_CO
dc.descriptiontextoes_CO
dc.descriptioncomputadoraes_CO
dc.descriptionrecurso en líneaes_CO
dc.description.abstractCreating computing systems that implement the information processing properties of biological brains can have several advantages in terms of computational and energy efficiency. The present work provides a numerical modeling tool to evaluate the computational capabilities of a neuromorphic hardware architecture consisting of a random network of memristive connections. This architecture is analyzed from the perspective of the Reservoir Computing approach. A simple methodology based on the definition of ordered and chaotic dynamical systems was used to determine the Separation and Fading Memory Properties of the architecture proposed as required by the aforementioned approach. Results show the potential use of these networks as reservoirs for the processing of time-varying inputses_CO
dc.formatapplication/pdfes_CO
dc.format.extent43 hojases_CO
dc.language.isoenges_CO
dc.sourceinstname:Universidad de los Andeses_CO
dc.sourcereponame:Repositorio Institucional Sénecaes_CO
dc.titleTheoretical evaluation of the computational capabilities of a random network with memristive connectionses_CO
dc.typemasterThesises_CO
dc.publisher.programMaestría en Ingeniería Industriales_CO
dc.rights.accessRightsopenAccess
dc.subject.keywordRedes neurales (Neurobiología) - Investigacioneses_CO
dc.subject.keywordSistemas dinámicos - Investigacioneses_CO
dc.subject.keywordAnálisis numérico - Investigacioneses_CO
dc.creator.degreeTesis (Magíster en Ingeniería Industrial) -- Universidad de los Andeses_CO
dc.publisher.facultyFacultad de Ingenieríaes_CO
dc.publisher.departmentDepartamento de Ingeniería Industriales_CO
dc.type.versionpublishedVersion


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