RT info:eu-repo/semantics/article
T1 A hybrid intelligent system for the analysis of atmospheric pollution: a case study in two European regions
A1 Arroyo Puente, Ángel
A1 Herrero Cosío, Álvaro
A1 Corchado, Emilio
A1 Tricio Gómez, Verónica
K1 Hybrid systems
K1 Clustering techniques
K1 Air quality
K1 Projection models
K1 Artificial neural networks
K1 Informática
K1 Computer science
AB The combined application of several soft-computing and statistical techniques is proposed for the characterization of atmospheric conditions in two European regions: Madrid (Spain) and Prague (Czech Republic). The resulting Hybrid ArtificialIntelligence System (HAIS) combines projection models for dimensionality reduction and clustering, combining neural andfuzzy paradigms, in a decision support tool. In present article, this proposed HAIS is applied to analyse the air quality inthese two geographical regions and get a better understanding of its circumstances and evolution. To do so, real-life datafrom six data-acquisition stations are analysed. The main pollutants recorded at these stations between 2007 and 2014, theirgeographical locations and seasonal changes are all studied, in a research that shows how such factors determine variations inair-borne pollutants. Furthermore, neural projections of the clustering results from data on atmospheric pollution are studied.
PB Oxford University Press
SN 1367-0751
YR 2017
FD 2017-12
LK http://hdl.handle.net/10259/7267
UL http://hdl.handle.net/10259/7267
LA eng
DS Repositorio Institucional de la Universidad de Burgos
RD 24-dic-2024