| 运用神经网络估算黄土边坡的安全系数 |
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| 引用本文： | 王艳红,王秀丽.运用神经网络估算黄土边坡的安全系数[J].兰州理工大学学报,2004,30(3):96-98. |
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| 作者姓名： | 王艳红 王秀丽 |
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| 作者单位： | 兰州理工大学,土木工程学院,甘肃,兰州,730050;兰州理工大学,土木工程学院,甘肃,兰州,730050 |
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| 摘 要： | 应用人工神经网络BP模型的非线性动力学、自学习和实时处理等特性,以黄土边坡实例作为输入样本,建立神经网络BP模型,并以安全系数作为输出值,估算黄土边坡稳定性的安全系数.通过试验数据对比,所得安全系数误差在6%以内,表明该计算方法可用于边坡稳定性分析.
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| 关 键 词： | 黄土边坡 神经网络 安全系数 |
| 文章编号： | 1000-5889(2004)03-0096-03 |
| 修稿时间： | 2003年10月20 |
Estimate safety factors of loess slope by using neural network |
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| WANG Yan-hong,WANG Xiu-li.Estimate safety factors of loess slope by using neural network[J].Journal of Lanzhou University of Technology,2004,30(3):96-98. |
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| Authors: | WANG Yan-hong WANG Xiu-li |
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| Abstract: | Application of neural network theory for estimation of safety factors for loess slope,using loess slope cases as input samples,establish BP model,with safety factors as output values,carry experiment for estimation of safety factor for loess slope.The results of experiment indicate that the safety factors from this method is rather credible,so it is a practical method for loess slope stability analysis. |
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| Keywords: | loess slope neural network safety factor |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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