Ara es mostren els items 16-18 de 18

    • PEM fuel cell fault diagnosis via a hybrid methodology based on fuzzy and pattern recognition techniques 

      Escobet Canal, Antoni; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco (2014-08)
      Article
      Accés obert
      In this work, a fault diagnosis methodology termed VisualBlock-Fuzzy Inductive Reasoning, i.e. VisualBlock-FIR, based on fuzzy and pattern recognition approaches is presented and applied to PEM fuel cell power systems. The ...
    • Rule-based assistance to brain tumour diagnosis using LR-FIR 

      Nebot Castells, M. Àngela; Castro Espinoza, Félix Agustín; Vellido Alcacena, Alfredo; Julià Sapé, Margarida; Arús, Carles (2008-09)
      Article
      Accés restringit per política de l'editorial
      This paper describes a process of rule-extraction from a multi-centre brain tumour database consisting of nuclear magnetic res- onance spectroscopic signals. The expert diagnosis of human brain tumours can benefit from ...
    • Wrapper-based fuzzy inductive reasoning model identification for imbalance data classification 

      Bagherpour, Solmaz; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco (Institute of Electrical and Electronics Engineers (IEEE), 2018)
      Comunicació de congrés
      Accés obert
      Fuzzy Inductive Reasoning (FIR) is a qualitative inductive modeling and simulation methodology for dealing with complex dynamical systems. FIR has proven to be a powerful tool for qualitative model identification and ...