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Analysing the Effect of Recent Anti-pollution Policies in Madrid City Through Soft-Computing.

, , , and . SOCO-CISIS-ICEUTE, volume 649 of Advances in Intelligent Systems and Computing, page 286-295. Springer, (2017)

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Soft computing models to analyze atmospheric pollution issues., , and . Log. J. IGPL, 20 (4): 699-711 (2012)Neural networks for the visual analysis of regional pollution., , , and . EUROCON, page 1-6. IEEE, (2015)Soft computing models to identify typical meteorological days., , and . Log. J. IGPL, 19 (2): 373-383 (2011)Neuro-Fuzzy Analysis of Atmospheric Pollution., , , and . HAIS, volume 9121 of Lecture Notes in Computer Science, page 382-392. Springer, (2015)Soft Computing Models for an Environmental Application., , and . SOCO, volume 73 of Advances in Intelligent and Soft Computing, page 127-135. Springer, (2010)Analysis of meteorological conditions in Spain by means of clustering techniques., , , and . J. Appl. Log., (2017)A hybrid intelligent system for the analysis of atmospheric pollution: a case study in two European regions., , , and . Log. J. IGPL, 25 (6): 915-937 (2017)Atmospheric Pollution Analysis by Unsupervised Learning., , and . IDEAL, volume 5788 of Lecture Notes in Computer Science, page 767-772. Springer, (2009)Time Analysis of Air Pollution in a Spanish Region Through k-means., , , and . SOCO-CISIS-ICEUTE, volume 527 of Advances in Intelligent Systems and Computing, page 63-72. (2016)An Unsupervised Neural Model to Analyse Thermal Properties of Construction Materials., , , and . International Conference on Computational Science, volume 3037 of Lecture Notes in Computer Science, page 204-211. Springer, (2004)