dc.creatorRubio López, Franco
dc.date.accessioned2022-04-20T01:04:28Z
dc.date.accessioned2024-05-16T12:43:56Z
dc.date.available2022-04-20T01:04:28Z
dc.date.available2024-05-16T12:43:56Z
dc.date.created2022-04-20T01:04:28Z
dc.date.issued2021-12-15
dc.identifierhttps://repositorio.unat.edu.pe/handle/UNAT/89
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9464502
dc.description.abstractIn this work, a recurrent discrete polynomial neural network is constructed from the fixed-point attractors of cubic polynomials; and is used in grayscale image restoration. In addition, a criterion is provided for the assignment of values to the synaptic weights of the neural network, which will guarantee the stability of the neural network.
dc.languageeng
dc.publisherUniversidad Nacional Autónoma de Tayacaja Daniel Hernández Morillo - UNAT
dc.rightshttps://creativecommons.org/licenses/by/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectNeural network
dc.subjectFixed point
dc.subjectAttractor
dc.subjectImage restoration
dc.titleRestauración de Imágenes en Escala de Grises usando una red Neuronal Polinómica Discreta Recurrente
dc.typeinfo:eu-repo/semantics/report


Este ítem pertenece a la siguiente institución