| 高陡山区开采自然坡失稳分析的神经网络方法 |
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| 引用本文： | 李文秀,杨少冲,陈二忠,乔金丽,戴兰芳.高陡山区开采自然坡失稳分析的神经网络方法[J].岩土力学,2006,27(9):1563-1566. |
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| 作者姓名： | 李文秀 杨少冲 陈二忠 乔金丽 戴兰芳 |
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| 作者单位： | 1. 河北大学,岩土工程研究所,保定,071002;中国科学院武汉岩土力学研究所岩土力学重点实验室,武汉,430071
2. 河北大学,岩土工程研究所,保定,071002 |
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| 基金项目： | 河北省科技攻关项目;中国科学院重点实验室基金;河北省教育厅科研项目 |
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| 摘 要： | 针对山区地下开采自然边坡稳定性分析问题,根据大量工程实测资料,建立了人工神经网络预测模型.通过对人工神经网络算法的改进,选取适当的动量项系数及变步长方法,对已有的实测资料进行了训练和测试,并对丁家河磷矿自然边坡稳定性进行了具体的预测分析,理论计算结果与工程实际情况一致.分析结果表明,所建立的理论模型可用于山区磷矿开采自然边坡稳定性预测分析.
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| 关 键 词： | 采矿工程 岩石力学 磷矿 人工神经网络 自然坡 |
| 文章编号： | 1000-7598-（2006）09-1563-04 |
| 收稿时间： | 2004-11-20 |
| 修稿时间： | 2004年11月20 |
Neural network method of analysis of natural slope failure due to underground mining in mountainous areas |
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| LI Wen-xiu,YANG Shao-chong,CHEN Er-zhong,QIAO Jin-li,DAI Lan-fang.Neural network method of analysis of natural slope failure due to underground mining in mountainous areas[J].Rock and Soil Mechanics,2006,27(9):1563-1566. |
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| Authors: | LI Wen-xiu YANG Shao-chong CHEN Er-zhong QIAO Jin-li DAI Lan-fang |
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| Institution: | 1.Hebei University, Baoding 071002, China; 2. Key Laboratory of Rock and Soil Mechanics, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China |
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| Abstract: | Based on the results of the statistical analysis of a large amount of measured dada in slope engineering, a theoretical model for natural slope failure for underground mining of phosphorus ore-deposit in mountainous areas is established by using the artificial neural networks theory and applied to predict the stability factor of natural slope in Dingjiahe phosphorus mine. The agreement of the theoretical results with the actual situation of natural slope shows that the proposed model is satisfactory; and the theoretical models obtained are valid; and thus can be effectively used for predicting the slope failure due to underground mining of phosphorus ore-deposit in mountainous areas. |
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| Keywords: | mining engineering rock mechanics phosphorus ore-deposit artificial neural networks natural slope |
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