Publicacions en què col·labora amb JULIO ORTEGA LOPERA (16)

2003

  1. Assessing the noise immunity and generalization of radial basis function networks

    Neural Processing Letters, Vol. 18, Núm. 1, pp. 35-48

2002

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

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

2001

  1. Assessing the noise immunity of radial basis function neural networks

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

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

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

  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. Accurate measure for multilayer perceptron tolerance to weight deviations

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

  3. Adaptive cooperation between processors in a parallel boltzmann machine implementation

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

  4. An accurate measure for multilayer perceptron tolerance to additive weight deviations

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

  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)

1998

  1. Parallel test pattern generation using circuit partitioning in a shared-memory multiprocessor

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

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)

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)

1993

  1. Diagnosis de circuitos analógicos mediante signaturas basadas en variaciones de parámetros de alto nivel

    VIII Congreso Diseño de Circuitos Integrados: Málaga, 9 al 11 de noviembre de 1993