Prediction on Surrounding Rock Deformation of Roadway based on a Neural Network Model

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Authors

  • Key Laboratory of Deep Coal Resource Mining, Ministry of Education of China; School of Mines; China University of Mining & Technology ,CN
  • Key Laboratory of Deep Coal Resource Mining, Ministry of Education of China; School of Mines; China University of Mining & Technology ,CN
  • State Key Laboratory of Coal Resources and Safe Mining, China University of Mining & Technology, Xuzhou, 221116 ,CN
  • Key Laboratory of Deep Coal Resource Mining, Ministry of Education of China; School of Mines; China University of Mining & Technology ,CN
  • Key Laboratory of Deep Coal Resource Mining, Ministry of Education of China; School of Mines; China University of Mining & Technology ,CN
  • Key Laboratory of Deep Coal Resource Mining, Ministry of Education of China; School of Mines; China University of Mining & Technology ,CN

Keywords:

Wavelet neural network; time series; surrounding rock deformation of roadway; prediction on surrounding rock deformation.

Abstract

The measured data are taken as training samples, and the surrounding rock deformation of ventilation roadway of the 21175 working face in Huopu coal mine is predicted by building a wavelet neural network time series model whose network structure is 4-18-1. The result shows that there is high coincidence degree between the prediction deformation and the field monitored data. The maximum relative error is less than 1%, and the average relative error is less than 0.5%. Therefore, the prediction values provide the theoretical basis of support design and safe production for roadways with the same conditions.

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Published

2022-10-20

How to Cite

Guo, H., Ji, M., Zhang, Y., Wang, H., Zhang, K., & Liang, A. (2022). Prediction on Surrounding Rock Deformation of Roadway based on a Neural Network Model. Journal of Mines, Metals and Fuels, 67(2), 76–81. Retrieved from https://informaticsjournals.com/index.php/jmmf/article/view/31485

 

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