HÉCTOR EMILIO
POMARES CINTAS
CATEDRÁTICO DE UNIVERSIDAD
JULIO
ORTEGA LOPERA
Investigador en el periodo 2006-2021
Publicaciones en las que colabora con JULIO ORTEGA LOPERA (14)
2018
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Prediction of energy consumption in a NSGA-II-based evolutionary algorithm
GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion
2011
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Method for prediction of protein-protein interactions in yeast using genomics/proteomics information and feature selection
Neurocomputing, Vol. 74, Núm. 16, pp. 2683-2690
2009
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Method for prediction of protein-protein interactions in yeast using genomics/proteomics information and feature selection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2003
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Designing a phenotypic distance index for radial basis function neural networks
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2686, pp. 454-461
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Multiobjective evolutionary optimization of the size, shape, and position parameters of radial basis function networks for function approximation
IEEE Transactions on Neural Networks, Vol. 14, Núm. 6, pp. 1478-1495
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Studying the convergence of the CFA algorithm
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2686, pp. 550-557
2002
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A new clustering technique for function approximation
IEEE Transactions on Neural Networks, Vol. 13, Núm. 1, pp. 132-142
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CODE-2: un computador didáctico elemental
XIII Jornadas de Paralelismo: Lleida, 9, 10 y 11 de septiembre de 2002. Actas
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Time series analysis using normalized PG-RBF network with regression weights
Neurocomputing, Vol. 42, Núm. 1-4, pp. 267-285
2001
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Parallel dynamic water supply scheduling in a cluster of computers
Concurrency and Computation: Practice and Experience, Vol. 13, Núm. 15, pp. 1281-1302
2000
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A systematic approach to a self-generating fuzzy rule-table for function approximation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, Vol. 30, Núm. 3, pp. 431-447
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New radial basis function networks structure: Application to time series prediction
Proceedings of the International Joint Conference on Neural Networks
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Self-organized fuzzy system generation from training examples
IEEE Transactions on Fuzzy Systems, Vol. 8, Núm. 1, pp. 23-36
1999
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Sequential learning algorithm for PG-RBF network using regression weights for time series prediction
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)