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Computational Intelligence and Neuroscience
Volume 2017, Article ID 2843651, 11 pages
https://doi.org/10.1155/2017/2843651
Research Article

A New Hybrid Model FPA-SVM Considering Cointegration for Particular Matter Concentration Forecasting: A Case Study of Kunming and Yuxi, China

1School of Mathematics and Statistics, Lanzhou University, Lanzhou, Gansu 730000, China
2North Automatic Control Technology Research Institute, Taiyuan, Shanxi 030006, China

Correspondence should be addressed to Weide Li; nc.ude.uzl@ilediew

Received 3 February 2017; Revised 7 June 2017; Accepted 6 July 2017; Published 28 August 2017

Academic Editor: Thomas DeMarse

Copyright © 2017 Weide Li 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

Weide Li, Demeng Kong, and Jinran Wu, “A New Hybrid Model FPA-SVM Considering Cointegration for Particular Matter Concentration Forecasting: A Case Study of Kunming and Yuxi, China,” Computational Intelligence and Neuroscience, vol. 2017, Article ID 2843651, 11 pages, 2017. https://doi.org/10.1155/2017/2843651.