• 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)
    Text en actes de congrés
    Accés obert
    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 ...
  • A methodological approach for algorithmic composition systems' parameter spaces aesthetic exploration 

    Paz Ortiz, Iván; Nebot Castells, M. Àngela; Romero Merino, Enrique; Múgica Álvarez, Francisco; Vellido Alcacena, Alfredo (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Comunicació de congrés
    Accés obert
    Algorithmic composition is the process of creating musical material by means of formal methods. As a consequence of its design, algorithmic composition systems are (explicitly or implicitly) described in terms of parameters. ...
  • Un algoritmo para la extracción automática de reglas lógicas a partir de modelos FIR 

    Castro Espinoza, Félix Agustín; Nebot Castells, M. Àngela (2007-01)
    Report de recerca
    Accés obert
    In this report the LR-FIR (Logical Rules with FIR) algorithm is described. The main goal of LR-FIR is to extract, in an automatic way, a set of logical rules that explain system’s behaviour. The algorithm starts from the ...
  • Fuzzy inductive reasoning forecasting strategies able to cope withmissing data: A smart grid application 

    Jurado, Sergio; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco; Mihaylov, Mihail (2017-02)
    Article
    Accés restringit per política de l'editorial
    Dealing with missing data is of great practical and theoretical interest in forecasting applications. In this study, we deal with the problem of forecasting with missing data in smart grid and BEMS applications, where the ...
  • Fuzzy inductive reasoning: a consolidated approach to data-driven construction of complex dynamical systems 

    Nebot Castells, M. Àngela; Múgica Álvarez, Francisco (2012)
    Article
    Accés restringit per política de l'editorial
    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 ...
  • Hybrid methodologies for electricity load forecasting: Entropy-based feature selection with machine learning and soft computing techniques 

    Jurado Gómez, Sergio; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco; Avellana, Narcís (2015-06-15)
    Article
    Accés restringit per política de l'editorial
    Scientific community is currently doing a great effort of research in the area of Smart Grids because energy production, distribution, and consumption play a critical role in the sustainability of the planet. The main ...
  • Método multiobjetivo de aprendizaje para razonamiento inductivo difuso 

    Acosta, Jesús; Nebot Castells, M. Àngela; Fuertes Armengol, José Mª (2006-10)
    Report de recerca
    Accés obert
    It has been recognized in various studies that the variations in the granularity (number of classes per variable) and the membership functions have a significant effect in the behaviour of the fuzzy systems. The FIR ...
  • 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 ...