Soft Computing Techniques Applied to a Case Study of Air Quality in Industrial Areas in the Czech Republic
Fecha de publicación
Springer Science + Business Media
Soft Computing Models in Industrial and Environmental Applications Advances in Intelligent Systems and Computing. 7th International Conference, SOCO’12, Ostrava, Czech Republic, September 5th-7th, 2012. Advances in Intelligent Systems and Computing. Volumen 188, pp. 537-546.
This multidisciplinary research analyzes the atmospheric pollution conditions of two different places in Czech Republic. The case study is based on real data provided by the Czech Hydrometeorological Institute along the period between 2006 and 2010. Seven variables with atmospheric pollution information are considered. Different Soft Computing models are applied to reduce the dimensionality of this data set and show the variability of the atmospheric pollution conditions among the two places selected, as well as the significant variability of the air quality along the time.
978-3-642-32921-0 (Print) / 978-3-642-32922-7 (Online)
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