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Mathematical Problems in Engineering
Volume 2015, Article ID 268132, 8 pages
http://dx.doi.org/10.1155/2015/268132
Research Article

An ELM Based Online Soft Sensing Approach for Alumina Concentration Detection

School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China

Received 19 August 2014; Accepted 30 October 2014

Academic Editor: Yi Jin

Copyright © 2015 Sen Zhang 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.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Jie Zhang, Wendong Xiao, Sen Zhang, and Shoudong Huang, “Device-Free Localization via an Extreme Learning Machine with Parameterized Geometrical Feature Extraction,” Sensors, vol. 17, no. 4, pp. 879, 2017. View at Publisher · View at Google Scholar
  • Jie Zhang, Sen Zhang, Weidong Yang, Wendong Xiao, and Yanjiao Li, “Class-specific cost regulation extreme learning machine for imbalanced classification,” Neurocomputing, vol. 261, pp. 70–82, 2017. View at Publisher · View at Google Scholar
  • Yonggang Li, Xiaofang Chen, Chunhua Yang, Zuguo Chen, and Weihua Gui, “Anode effect prediction based on collaborative two-dimensional forecast model in aluminum electrolysis production,” Journal of Industrial and Management Optimization, vol. 13, no. 5, pp. 595–618, 2017. View at Publisher · View at Google Scholar