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Abstract and Applied Analysis
Volume 2013, Article ID 238259, 6 pages
http://dx.doi.org/10.1155/2013/238259
Research Article

Forecasting SO2 Pollution Incidents by means of Elman Artificial Neural Networks and ARIMA Models

1Departamento de Construcción e Ingeniería de Fabricación, Universidad de Oviedo, 33203 Gijón, Spain
2Departamento de Explotación y Prospección de Minas, Universidad de Oviedo, Oviedo, 33004 Asturias, Spain
3Departamento de Estadística, Universidad de Vigo, 36310 Vigo, Spain

Received 29 October 2013; Accepted 13 November 2013

Academic Editor: L. Jódar

Copyright © 2013 Antonio Bernardo Sánchez et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Antonio Bernardo Sánchez, Celestino Ordóñez, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez, and Javier Roca-Pardiñas, “Forecasting SO2 Pollution Incidents by means of Elman Artificial Neural Networks and ARIMA Models,” Abstract and Applied Analysis, vol. 2013, Article ID 238259, 6 pages, 2013. https://doi.org/10.1155/2013/238259.