Publicaciones en las que colabora con JULIO ORTEGA LOPERA (13)

2016

  1. Neural networks: An overview of early research, current frameworks and new challenges

    Neurocomputing, Vol. 214, pp. 242-268

2006

  1. Evolutionary algorithms for multiobjective and multimodal optimization of diagnostic schemes

    IEEE Transactions on Biomedical Engineering, Vol. 53, Núm. 2, pp. 178-189

2004

  1. PSFGA: Parallel processing and evolutionary computation for multiobjective optimisation

    Parallel Computing, Vol. 30, Núm. 5-6, pp. 721-739

2003

  1. FPGA implementation of multi-layer perceptrons for speech recognition

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2778, pp. 1048-1052

  2. Genetic algorithm applied to paroxysmal atrial fibrillation prediction

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2687, pp. 345-352

  3. Non-invasive atrial disease diagnosis using decision rules: A multi-objective optimization approach

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2632, pp. 638-647

  4. Paroxysmal atrial fibrillation prediction application using genetic algorithms

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2660, pp. 1011-1019

2002

  1. Multi-objective optimization evolutionary algorithms applied to paroxysmal atrial fibrillation diagnosis based on the k-nearest neighbours classifier

    Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

2000

  1. A quantitative study of fault tolerance, noise immunity, and generalization ability of MLPs

    Neural Computation, Vol. 12, Núm. 12, pp. 2941-2964

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

    Proceedings of the International Joint Conference on Neural Networks

  3. Obtaining fault tolerant multilayer perceptrons using an explicit regularization

    Neural Processing Letters, Vol. 12, Núm. 2, pp. 107-113

1999

  1. A new measurement of noise immunity and generalization ability for MLPs.

    International journal of neural systems, Vol. 9, Núm. 6, pp. 511-521

  2. 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)