Now showing items 1-11 of 11

    • A Soft computing techniques study in wastewater treatment plants 

      Belanche Muñoz, Luis Antonio; Valdés Ramos, Julio José; Comas, Joaquim; Rodriguez-Roda, Ignasi; Poch, Manel (1999-06)
      External research report
      Open Access
      The correct control and prediction of Wastewater Treatment Plants poses an important goal: to avoid breaking the environmental balance by always keeping the system in stable operating conditions. In this respect, it is ...
    • An analysis of MYCIN-like expert systems 

      Hajek, Petr; Valdés Ramos, Julio José (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 1994)
      Article
      Open Access
      The paper is a review of our theoretical analysis of uncertainty processing in a broad class of truth-functional expert systems similar to MYCIN and PROSPECTOR, main attention being paid to parallel combination of rules. ...
    • Characterizing fractal features for texture description in digital images: an experimental study 

      Molina, Luis; Valdés Ramos, Julio José (2001-03)
      External research report
      Open Access
      Texture-based recognition for image segmentation and classification is very important in many domains and different numerical features coming from a variety of approaches have been proposed. Texture segmentation using ...
    • Fuzzy heterogeneous heurons for imprecise classification problems 

      Valdés Ramos, Julio José; Belanche Muñoz, Luis Antonio; Alquézar Mancho, René (1998-06)
      External research report
      Open Access
      In the classical neuron model, inputs are continuous real-valued quantities. However, in many important domains from the real world, objects are described by a mixture of continuous and discrete variables, usually containing ...
    • Fuzzy heterogeneous neural networks for signal forecasting 

      Belanche Muñoz, Luis Antonio; Valdés Ramos, Julio José; Alquézar Mancho, René (Springer, 1998)
      Conference report
      Open Access
      Fuzzy heterogeneous neural networks are recently introduced models based on neurons accepting heterogeneous inputs (i.e. mixtures of numerical and non-numerical information possibly with missing data) with either crisp or ...
    • Fuzzy heterogeneous neurons for imprecise classification problems 

      Valdés Ramos, Julio José; Belanche Muñoz, Luis Antonio; Alquézar Mancho, René (Wiley, 2000-02)
      Article
      Open Access
      In the classical neuron model, inputs are continuous real-valued quantities. However, in many important domains from the real world, objects are described by a mixture of continuous and discrete variables, usually containing ...
    • Fuzzy inputs and missing data in similarity-based heterogeneous neural networks 

      Belanche Muñoz, Luis Antonio; Valdés Ramos, Julio José (Springer, 1999)
      Conference report
      Open Access
      Fuzzy heterogeneous networks are recently introduced neural network models composed of neurons of a general class whose inputs and weights are mixtures of continuous variables (crisp and/or fuzzy) with discrete quantities, ...
    • Fuzzy inputs and missing data in similarity-based heterogeneous neural networks 

      Belanche Muñoz, Luis Antonio; Valdés Ramos, Julio José (1998-12)
      External research report
      Open Access
      Fuzzy heterogeneous networks are recently introduced feed-forward neural network models composed of neurons of a general class whose inputs and weights are mixtures of continuous variables (crisp and/or fuzzy) with ...
    • The VEX-93 environment as a hybrid tool for developing knowledge systems with different problem solving techniques 

      Valdés Ramos, Julio José; Hita Rensoli, Ramon María de; Peón Valdés, Katia; Hernández, Dania; García Martínez, Ada; Paredes, Raul; García, Yazna; Rodríguez, Alfredo (1997-02)
      External research report
      Open Access
      The paper describes VEX-93 as a hybrid environment for developing knowledge-based and problem solver systems. It integrates methods and techniques from artificial intelligence, image and signal processing and data ...
    • Towards a model of input-output behaviour of wastewater treatment plants using soft computing techniques 

      Belanche Muñoz, Luis Antonio; Valdés Ramos, Julio José; Comas Matas, Joaquim; Rodriguez Roda, Ignasi; Poch Espallargas, Manel (Elsevier, 1999-03)
      Article
      Open Access
      Wastewater Treatment Plants (WWTPs) control and prediction under a wide range of operating conditions is an important goal in order to avoid breaking of environmental balance, keeping the system in stable operating conditions ...
    • Using fuzzy heterogeneous neural networks to learn a model of the central nervous system control 

      Belanche Muñoz, Luis Antonio; Valdés Ramos, Julio José (Verlag Mainz, 1998)
      Conference report
      Open Access
      Fuzzy heterogeneous networks based on similarity are recently introduced feed-forward neural network models composed by neurons of a general class whose inputs are mixtures of continuous (crisp and/or fuzzy) with discrete ...