Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Jairo Rojas Delgado"'
Autor:
Jairo Rojas Delgado, Héctor González Diez, Carlos Morel Pérez, Francesc J. Ferri, Rafael Trujillo Rasúa, Rafael Bello
Publikováno v:
Anales de la Academia de Ciencias de Cuba, Vol 12, Iss 3 (2022)
Introducción. La presente investigación se enmarca en la introducción de nuevos métodos computacionales de optimización matemática para el estudio de problemas de estimación de múltiples indicadores. Métodos. Se incluyen un grupo de propue
Externí odkaz:
https://doaj.org/article/bfc5f38caa07424b82620365d25fe757
Publikováno v:
Serie Científica de la Universidad de las Ciencias Informáticas, Vol 13, Iss 8, Pp 174-194 (2020)
En la actualidad surgen implementaciones de algoritmos metaheurísticos para dar soluciones a problemas reales en la vida cotidiana, debido a su capacidad de identificar regiones prometedoras e intensificar la búsqueda en las mismas. En este trabajo
Externí odkaz:
https://doaj.org/article/83afa8ce39ea4466a8b0981ec992407d
Publikováno v:
Revista Cubana de Ciencias Informáticas, Vol 12, Iss 1, Pp 14-27 (2018)
El campo de investigaciones referente a las Redes Neuronales Artificiales (RNA) es uno de los más activos en la comunidad científica con múltiples aplicaciones recientes. El algoritmo Firefly ha sido empleado con éxito en el pre-entrenamiento de
Externí odkaz:
https://doaj.org/article/4b9e35b990bc4e82ab2453ab237a070b
Publikováno v:
IEEE Transactions on Evolutionary Computation. 26:1281-1292
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f42978d526e877d8cb8edb1751543aa7
https://doi.org/10.1109/tevc.2022.3208110
https://doi.org/10.1109/tevc.2022.3208110
Publikováno v:
Metaheuristics ISBN: 9783031265037
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba959a44e72645b5fd63f991ce8945f4
https://doi.org/10.1007/978-3-031-26504-4_26
https://doi.org/10.1007/978-3-031-26504-4_26
Publikováno v:
Pattern Recognition Letters. 125:373-380
Artificial Neural Networks research field is among the areas of major activity in Artificial Intelligence. Training a neural network is an NP-hard optimization problem that presents several theoretical and computational limitations. In optimization,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01638dce66c5e98b1fef413c7282e16a
https://doi.org/10.1016/j.patrec.2019.05.017
https://doi.org/10.1016/j.patrec.2019.05.017
Publikováno v:
Computación y Sistemas. 25
The novel SARS-CoV 2 coronavirus has grown to become a global pandemic. Since then, several approaches have been adopted and developed to provide insights into epidemic origins, worldwide dispersal and epidemiological history. The Susceptible, Expose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba2e79c78f05d69341e29f3ee4402e3a
https://doi.org/10.13053/cys-25-2-3462
https://doi.org/10.13053/cys-25-2-3462
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783030339036
CIARP
CIARP
Hyper-Parameter configuration is a relatively novel field of paramount importance in machine learning and optimization. Hyper-parameters refers to the parameters that control the behavior of algorithms and are not tuned directly by such algorithms. F
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::803f8569603b83905c39386f23db2c83
https://doi.org/10.1007/978-3-030-33904-3_43
https://doi.org/10.1007/978-3-030-33904-3_43
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783030339036
CIARP
CIARP
Video transmission is of critical interest in several practical applications. Recent studies show that video content is highly cacheable in content delivery networks. Proactive and hybrid reactive-proactive caching policies, with the use of media pop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31c976ba77aa35607fd5ef54f7260374
https://doi.org/10.1007/978-3-030-33904-3_73
https://doi.org/10.1007/978-3-030-33904-3_73
Publikováno v:
Progress in Artificial Intelligence and Pattern Recognition ISBN: 9783030011314
IWAIPR
IWAIPR
Artificial Neural Networks research field is among the areas of major activity in Artificial Intelligence. Conventional training approaches applied to neural networks present several theoretical and computational limitations. In this paper we propose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::116d1c053a50d35b84aebac05ccdc806
https://doi.org/10.1007/978-3-030-01132-1_7
https://doi.org/10.1007/978-3-030-01132-1_7