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Mathematical Problems in Engineering
Volume 2013, Article ID 579693, 4 pages
http://dx.doi.org/10.1155/2013/579693
Research Article

A Wavelet-Based Robust Relevance Vector Machine Based on Sensor Data Scheduling Control for Modeling Mine Gas Gushing Forecasting on Virtual Environment

1Key Laboratory of Industrial Internet of Things & Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2Institute of Grassland Science, Key Laboratory of Vegetation Ecology, Ministry of Education, Northeast Normal University, Changchun 130024, China

Received 20 March 2013; Revised 24 April 2013; Accepted 9 May 2013

Academic Editor: Vishal Bhatnagar

Copyright © 2013 Wang Ting 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 [4 citations]

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

  • Longjun Dong, and Xibing Li, “Comprehensive Models for Evaluating Rockmass Stability Based on Statistical Comparisons of Multiple Classifiers,” Mathematical Problems in Engineering, vol. 2013, pp. 1–9, 2013. View at Publisher · View at Google Scholar
  • Sifeng Liu, Ding Chen, Ligen Yao, and Wei Cui, “Using gray model with fractional order accumulation to predict gas emission,” Natural Hazards, vol. 71, no. 3, pp. 2231–2236, 2014. View at Publisher · View at Google Scholar
  • Wu Xiang, Qian Jian-sheng, Huang Cheng-hua, and Zhang Li, “Short-Term Coalmine Gas Concentration Prediction Based on Wavelet Transform and Extreme Learning Machine,” Mathematical Problems in Engineering, vol. 2014, pp. 1–8, 2014. View at Publisher · View at Google Scholar
  • Yuan Luo, Wenbin Ye, Xiaojin Zhao, Xiaofang Pan, and Yuan Cao, “Classification of Data from Electronic Nose Using Gradient Tree Boosting Algorithm,” Sensors, vol. 17, no. 10, pp. 2376, 2017. View at Publisher · View at Google Scholar