| 基于人工神经网络的地下矿山岩层移动研究 |
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| 引用本文： | 王艳辉, 蔡嗣经, 宋卫东. 基于人工神经网络的地下矿山岩层移动研究[J]. 工程科学学报, 2003, 25(2): 106-109. DOI: 10.13374/j.issn1001-053x.2003.02.003 |
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| 作者姓名： | 王艳辉 蔡嗣经 宋卫东 |
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| 作者单位： | 1.北京科技大学土木与环境工程学院, 北京 100083 |
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| 摘 要： | 提出了采用人工神经网络方法进行地下金属矿山岩层移动预测,结合模糊数学对选取的地表移动影响因素进行了处理.计算结果表明,所选取的各因素之间及其与岩层的移动角之间存在着较强的非线性关系,移动角的大小与选取因素有着密切的联系,进而从理论上证明可以预测由于开挖引起的岩层和地表移动的范围问题.
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| 关 键 词： | 人工神经网络 岩层移动 隶属度 |
| 收稿时间： | 2002-09-04 |
Research on Strata Movement in Underground Metal Mines Based on the Artificial Neural Network |
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| 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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| Authors: | WANG Yanhui CAI Sijing SONG Weidong |
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| Affiliation: | 1.Civil and Environment Engineering School, University of Science and Technology Beijing, Beijing 100083, China |
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| 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. |
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| Keywords: | artificial neural network strata movement subordinate degree |
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