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Mathematical Problems in Engineering
Volume 2015, Article ID 326160, 11 pages
http://dx.doi.org/10.1155/2015/326160
Research Article

Data-Driven Dynamic Modeling for Prediction of Molten Iron Silicon Content Using ELM with Self-Feedback

1State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China
2Control System Center, Manchester University, Manchester M60 1QD, UK

Received 21 August 2014; Revised 17 November 2014; Accepted 18 November 2014

Academic Editor: Jiuwen Cao

Copyright © 2015 Ping Zhou 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

Ping Zhou, Meng Yuan, Hong Wang, and Tianyou Chai, “Data-Driven Dynamic Modeling for Prediction of Molten Iron Silicon Content Using ELM with Self-Feedback,” Mathematical Problems in Engineering, vol. 2015, Article ID 326160, 11 pages, 2015. https://doi.org/10.1155/2015/326160.