Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Hector J. Puga-Soberanes"'
Autor:
Alfonso Rojas-Dominguez, Luis Carlos Padierna, Juan Martin Carpio Valadez, Hector J. Puga-Soberanes, Hector J. Fraire
Publikováno v:
IEEE Access, Vol 6, Pp 7164-7176 (2018)
Proper tuning of hyper-parameters is essential to the successful application of SVM-classifiers. Several methods have been used for this problem: grid search, random search, estimation of distribution Algorithms (EDAs), bio-inspired metaheuristics, a
Externí odkaz:
https://doaj.org/article/ab1a8d723df04717a120ef6b1f0be155
Autor:
Valentin Calzada-Ledesma, Hector J. Puga-Soberanes, Manuel Ornelas-Rodriguez, Alfonso Rojas-Dominguez, Juan Martin Carpio-Valadez, Andres Espinal, Jorge A. Soria-Alcaraz, Marco A. Sotelo-Figueroa
Publikováno v:
IEEE Access, Vol 6, Pp 40450-40462 (2018)
Effective texture classification requires image descriptors capable of efficiently detecting, extracting, and describing the most relevant information in the images, so that, for instance, different texture classes can be distinguished despite image
Externí odkaz:
https://doaj.org/article/2f2eab0157bf498794f97f570d406975
Autor:
Andrés Espinal, Alfonso Rojas-Domínguez, Jorge A. Soria-Alcaraz, Manuel Ornelas-Rodríguez, Carlos Juarez-Santini, Horacio Rostro-Gonzalez, Hector J. Puga-Soberanes
Publikováno v:
Journal of Automation, Mobile Robotics and Intelligent Systems. :73-80
Autor:
Alfonso Rojas-Domínguez, Martín Carpio, Jorge A. Soria-Alcaraz, Manuel Ornelas-Rodríguez, Lucero Ortiz-Aguilar, Hector J. Puga-Soberanes
Publikováno v:
Complexity, Vol 2021 (2021)
In this work, we focus on the problem of selecting low-level heuristics in a hyperheuristic approach with offline learning, for the solution of instances of different problem domains. The objective is to improve the performance of the offline hyperhe
Autor:
Hector J. Fraire, Luis Carlos Padierna, Juan Martin Carpio Valadez, Alfonso Rojas-Domínguez, Hector J. Puga-Soberanes
Publikováno v:
IEEE Access, Vol 6, Pp 7164-7176 (2018)
Proper tuning of hyper-parameters is essential to the successful application of SVM-classifiers. Several methods have been used for this problem: grid search, random search, estimation of distribution Algorithms (EDAs), bio-inspired metaheuristics, a
Autor:
Alfonso Rojas-Domínguez, Jorge A. Soria-Alcaraz, J. Martín Carpio, Horacio Rostro-Gonzalez, Manuel Ornelas-Rodríguez, Andrés Espinal, Hector J. Puga-Soberanes, Gustavo López-Vázquez
Publikováno v:
8th International Conference on Soft Computing, Artificial Intelligence and Applications.
Artificial Neural Networks (ANNs) have been successfully used in Pattern Recognition tasks. Evolutionary Spiking Neural Networks (ESNNs) constitute an approach to design thirdgeneration ANNs (also known as Spiking Neural Networks, SNNs) involving Evo
Autor:
G. López-Vázquez, Manuel Ornelas-Rodríguez, Horacio Rostro-Gonzalez, Alfonso Rojas-Domínguez, Jorge A. Soria-Alcaraz, Hector J. Puga-Soberanes, Andrés Espinal, Juan Martín Carpio
Publikováno v:
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience, Vol 2019 (2019)
Computational Intelligence and Neuroscience, Vol 2019 (2019)
This paper presents a grammatical evolution (GE)-based methodology to automatically design third generation artificial neural networks (ANNs), also known as spiking neural networks (SNNs), for solving supervised classification problems. The proposal
Autor:
Manuel Ornelas-Rodríguez, Alfonso Rojas-Domínguez, Hector J. Puga-Soberanes, Daniela Sánchez, Martín Carpio, Luis Ernesto Mancilla Espinoza, Janet Ortiz-López, Olga Quiroz-Ramírez, Andrés Espinal
Publikováno v:
Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications ISBN: 9783319710075
Fuzzy Logic Augmentation of Neural and Optimization Algorithms
Fuzzy Logic Augmentation of Neural and Optimization Algorithms
Evolutionary Artificial Neural Networks (EANNs) are a special case of Artificial Neural Networks (ANNs) for which Evolutionary Algorithms (EAs) are used to modify or create them. EANNs adapt their defining components ad hoc for solving a particular p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c89a1e262b004f158e5136d20236fbe
https://doi.org/10.1007/978-3-319-71008-2_9
https://doi.org/10.1007/978-3-319-71008-2_9
Autor:
Valentin Calzada-Ledesma, Manuel Ornelas-Rodríguez, Alfonso Rojas-Domínguez, Claudia Gómez, Hector J. Puga-Soberanes, Martín Carpio
Publikováno v:
Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications ISBN: 9783319710075
Fuzzy Logic Augmentation of Neural and Optimization Algorithms
Fuzzy Logic Augmentation of Neural and Optimization Algorithms
Texture classification is a problem widely studied in computer vision, there exist two fundamental issues: how to describe texture images and how to define a similarity measure. The texture descriptors are mainly used to extract and represent the fea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63a59249bed0ef107874accaaa0866c6
https://doi.org/10.1007/978-3-319-71008-2_37
https://doi.org/10.1007/978-3-319-71008-2_37
Autor:
Alfonso Rojas-Domínguez, Valentin Calzada-Ledesma, Juan Martin Carpio-Valadez, Hector J. Puga-Soberanes, Claudia Gómez-Santillán, Manuel Ornelas-Rodríguez
Publikováno v:
Nature-Inspired Design of Hybrid Intelligent Systems ISBN: 9783319470535
Nature-Inspired Design of Hybrid Intelligent Systems
Nature-Inspired Design of Hybrid Intelligent Systems
Grammatical Evolution (GE) is a grammar-based form of Genetic Programming. In GE, a Mapping Process (MP) and a Backus–Naur Form grammar (defined in the problem context) are used to transform each individual’s genotype into its phenotype form (fun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8abc0e97b557cc4904a019e667e9f112
https://doi.org/10.1007/978-3-319-47054-2_52
https://doi.org/10.1007/978-3-319-47054-2_52