Publicacions en què col·labora amb ANGEL ARROYO PUENTE (15)

2019

  1. Self-Organizing Maps to Validate Anti-Pollution Policies

    Logic Journal of the IGPL, Vol. 28, Núm. 4, pp. 596-614

2018

  1. Analysing the effect of recent anti-pollution policies in Madrid city through soft-computing

    Advances in Intelligent Systems and Computing

  2. Neural models for imputation of missing ozone data in air-quality datasets

    Complexity, Vol. 2018

2017

  1. A hybrid intelligent system for the analysis of atmospheric pollution: A case study in two European regions

    Logic Journal of the IGPL, Vol. 25, Núm. 6, pp. 915-937

  2. Analysis of meteorological conditions in Spain by means of clustering techniques

    Journal of Applied Logic, Vol. 24, pp. 76-89

  3. Time analysis of air pollution in a Spanish region through K-means

    Advances in Intelligent Systems and Computing

2015

  1. A comparison of clustering techniques for meteorological analysis

    Advances in Intelligent Systems and Computing

  2. Neural networks for the visual analysis of regional pollution

    Proceedings - EUROCON 2015

  3. Neuro-fuzzy analysis of atmospheric pollution

    Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

2013

  1. Soft computing techniques applied to a case study of air quality in industrial areas in the Czech Republic

    Advances in Intelligent Systems and Computing

2012

  1. Soft computing models to analyze atmospheric pollution issues

    Logic Journal of the IGPL, Vol. 20, Núm. 4, pp. 699-711

2011

  1. A climatologycal analysis by means of soft computing models

    Advances in Intelligent and Soft Computing

  2. Soft computing models to identify typical meteorological days

    Logic Journal of the IGPL, Vol. 19, Núm. 2, pp. 373-383

2010

  1. Soft Computing Models for an Environmental Application

    Soft computing models in industrial and environmental applications

2009

  1. Atmospheric pollution analysis by unsupervised learning

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)