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| BP NEURAL NETWORK MODEL TO PREDICT MOTION ANGLE OF METAL MINE AND ITS APPLICATION IN ENGINEERING |
| Received:August 30, 2011 |
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| DOI：10.3969/j.issn.1005-7854.2011.02.003 |
| KeyWord:BP neural network ; Angle of strata movement; Metal mine ; Caving method; Filling method |
| Author | Institution |
| GUO Yan-hui |
Faculty of land Resource Engineering, Kunming University of Science and Technology, Kunming,China |
| HOU Ke-peng |
Faculty of land Resource Engineering, Kunming University of Science and Technology, Kunming,China |
| SUN Hua-fen |
Faculty of land Resource Engineering, Kunming University of Science and Technology, Kunming,China |
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| Abstract: |
| The most important parameter to study the strata movement and subsidence is moving angle of strata. Correct determination of the angle of strata movement has the extremely vital significance for mining engineering arrangement. Based on a large number of research results of moving angle of strata in domestic and foreign caving and filling mine, the model for calculating the displacement angles of strata is established by applying the improved BP neural network model, and the precision of the model is further validated. The results show that there is a strong nonlinear charateristeics between the select factors and strata movement angle, the anticipant and the actual output results are very similar. The model is applied in predicting moving angle of strata of Shizishan copper mine, and achieved considerable effects. |
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