Now showing items 1-4 of 4

  • A flexible fuzzy inductive reasoning approach for load modelling able to cope with missing data 

    Jurado Gómez, Sergio; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (ICST), 2015)
    Conference report
    Open Access
    Load forecasting in buildings and homes has been in recent years a task of increasing importance. New services and functionalities can be offered in the home environment due to this predictions, for instance, the detection ...
  • Fuzzy inductive reasoning: a consolidated approach to data-driven construction of complex dynamical systems 

    Nebot Castells, M. Àngela; Múgica Álvarez, Francisco (2012)
    Article
    Restricted access - publisher's policy
    Fuzzy inductive reasoning (FIR) is a modelling and simulation methodology derived from the General Systems Problem Solver. It compares favourably with other soft computing methodologies, such as neural networks, genetic ...
  • 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
    Open Access
    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
    Restricted access - publisher's policy
    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 ...