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Discrete Dynamics in Nature and Society
Volume 2014 (2014), Article ID 390579, 10 pages
http://dx.doi.org/10.1155/2014/390579
Research Article

Forecasting Uranium Resource Price Prediction by Extreme Learning Machine with Empirical Mode Decomposition and Phase Space Reconstruction

1School of Digital Media, Jiangnan University, Wuxi 214122, China
2School of Science, East China Institute of Technology, Nanchang 330013, China

Received 28 August 2013; Revised 28 December 2013; Accepted 31 December 2013; Published 20 February 2014

Academic Editor: Wei-Der Chang

Copyright © 2014 Qisheng Yan 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

Qisheng Yan, Shitong Wang, and Bingqing Li, “Forecasting Uranium Resource Price Prediction by Extreme Learning Machine with Empirical Mode Decomposition and Phase Space Reconstruction,” Discrete Dynamics in Nature and Society, vol. 2014, Article ID 390579, 10 pages, 2014. doi:10.1155/2014/390579