Research on Strata Movement in Underground Metal Mines Based on the Artificial Neural Network

WANG Yanhui; CAI Sijing; SONG Weidong

doi:10.13374/j.issn1001-053x.2003.02.003

Volume 25 Issue 2

Aug. 2021

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Article Navigation > Chinese Journal of Engineering > 2003 > 25(2): 106-109

WANG Yanhui, CAI Sijing, SONG Weidong. Research on Strata Movement in Underground Metal Mines Based on the Artificial Neural Network[J]. Chinese Journal of Engineering, 2003, 25(2): 106-109. doi: 10.13374/j.issn1001-053x.2003.02.003

Citation:

WANG Yanhui, CAI Sijing, SONG Weidong. Research on Strata Movement in Underground Metal Mines Based on the Artificial Neural Network[J]. Chinese Journal of Engineering, 2003, 25(2): 106-109. doi: 10.13374/j.issn1001-053x.2003.02.003

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Research on Strata Movement in Underground Metal Mines Based on the Artificial Neural Network

doi: 10.13374/j.issn1001-053x.2003.02.003

Civil and Environment Engineering School, University of Science and Technology Beijing, Beijing 100083, China

Received Date: 2002-09-04
Available Online: 2021-08-17

Abstract

Abstract

A prediction method of strata movement in underground metal mines is put forward in which the artificial neural network is applied, and selected factors influencing strata movement are dealt with by the fuzzy ma-thematic method. The results show that there is a strong nonlinear linking between the factors and strata movement angle, and the numerical value of movement angle has much in connection with the factors. It is proved that the scope of strata and surface movement due to mining can be predicted in theory.
- artificial neural network,
- strata movement,
- subordinate degree