Publicaciones en las que colabora con HÉCTOR EMILIO POMARES CINTAS (14)

2018

  1. 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

  1. 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

  1. 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

  1. 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

  2. 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

  3. 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

  1. A new clustering technique for function approximation

    IEEE Transactions on Neural Networks, Vol. 13, Núm. 1, pp. 132-142

  2. CODE-2: un computador didáctico elemental

    XIII Jornadas de Paralelismo: Lleida, 9, 10 y 11 de septiembre de 2002. Actas

  3. Time series analysis using normalized PG-RBF network with regression weights

    Neurocomputing, Vol. 42, Núm. 1-4, pp. 267-285

2001

  1. Parallel dynamic water supply scheduling in a cluster of computers

    Concurrency and Computation: Practice and Experience, Vol. 13, Núm. 15, pp. 1281-1302

2000

  1. 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

  2. New radial basis function networks structure: Application to time series prediction

    Proceedings of the International Joint Conference on Neural Networks

  3. Self-organized fuzzy system generation from training examples

    IEEE Transactions on Fuzzy Systems, Vol. 8, Núm. 1, pp. 23-36

1999

  1. 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)