Raúl Pérez Rodríguez-rekin lankidetzan egindako argitalpenak (12)

2019

  1. An approximation to solve regression problems with a genetic fuzzy rule ordinal algorithm

    Applied Soft Computing Journal, Vol. 78, pp. 13-28

2016

  1. On the use of an incremental approach to learn fuzzy classification rules for big data problems

    2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016

  2. Ordinal classification based on the sequential covering strategy

    International Journal of Approximate Reasoning, Vol. 76, pp. 96-110

2015

  1. An interpretability improvement for fuzzy rule bases obtained by the iterative rule learning approach

    International Journal of Approximate Reasoning, Vol. 67, pp. 37-58

  2. Using a sequential covering strategy for discovering fuzzy rules incrementally

    IEEE International Conference on Fuzzy Systems

2014

  1. A feature construction approach for genetic iterative rule learning algorithm

    Journal of Computer and System Sciences

  2. Overview of the SLAVE learning algorithm: A review of its evolution and prospects

    International Journal of Computational Intelligence Systems, Vol. 7, Núm. 6, pp. 1194-1221

2013

  1. A new iterative model to simplify the knowledge extracted on a fuzzy rule-based learning algorithm

    IEEE International Conference on Fuzzy Systems

  2. An empirical study about the behavior of a genetic learning algorithm on searching spaces pruned by a completeness condition

    Proceedings of the 2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, GEFS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013

2012

  1. A filter proposal for including feature construction in a genetic learning algorithm

    International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 20, Núm. SUPPL. 2, pp. 31-49

2011

  1. A two-step approach of feature construction for a genetic learning algorithm

    IEEE International Conference on Fuzzy Systems

  2. An iterative strategy for feature construction on a fuzzy rule-based learning algorithm

    International Conference on Intelligent Systems Design and Applications, ISDA