Publicaciones en las que colabora con Alberto Gonzalez Prieto (18)

2008

  1. Evolving machine microprograms

    GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008

2002

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

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

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. Analysis of the functional block involved in the design of radial basis function networks

    Neural Processing Letters, Vol. 12, Núm. 1, pp. 1-17

  3. Improving the tolerance of multilayer perceptrons by minimizing the statistical sensitivity to weight deviations

    Neurocomputing, Vol. 31, Núm. 1-4, pp. 87-103

  4. Obtaining fault tolerant multilayer perceptrons using an explicit regularization

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

  5. What are the main functional block involved in the design of Adaptive Neuro-Fuzzy Inference Systems?

    Proceedings of the International Joint Conference on Neural Networks

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. Accurate measure for multilayer perceptron tolerance to weight deviations

    Neural Processing Letters, Vol. 10, Núm. 2, pp. 121-130

  3. Implementation of adaptable and hierarchical fuzzy T-norm

    Electronics Letters, Vol. 35, Núm. 24, pp. 2150-2152

  4. New methodology to obtain fuzzy systems autonomously from training data

    IEEE International Conference on Fuzzy Systems

  5. Parallel combinatorial optimization with evolutionary cooperation between processors

    Proceedings of the 1999 Congress on Evolutionary Computation, CEC 1999

  6. 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)

  7. Stimulus correlation and adaptive motion detection using spiking neurons.

    International journal of neural systems, Vol. 9, Núm. 5, pp. 485-490

1997

  1. A modified backpropagation algorithm to tolerate weight errors

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. New approach to fuzzy controller designing and coding via genetic algorithms

    IEEE International Conference on Fuzzy Systems

1996

  1. Solving mastermind using GAs and simulated annealing: A case of dynamic constraint optimization

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

1995

  1. Test pattern generation for analog circuits using neural networks and evolutive algorithms

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)