| 圆弧形公路边坡稳定性分析的神经网络法 |
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| 引用本文：何锋,吴树仁,张怡权,包惠明.2004.圆弧形公路边坡稳定性分析的神经网络法[J].地球学报,25(1):95-98. |
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| 基金项目:科技部重点专项项目(2001DIA20027) |
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| 中文摘要:边坡的稳定性往往取决于一些难以确定的非线性因素。而人工神经网络法具有并行处理数据与信息、良好的容错特性和较强的抗噪声能力，可以通过自学功能从样本实例中获得复杂的非线性关系，能模拟人脑的某些智能行为，因而适用于解决非确定性的边坡稳定性评价问题。本文建立了边坡稳定性评价的神经网络BP模型，用收集到的边坡稳定破坏实例作为样本进行学习，对桂林-柳州一级公路中K250段公路边坡进行了稳定性评价，结果表明：神经网络法是一种有效的边坡稳定性分析方法。 |
| 中文关键词:神经网络 BP模型 边坡稳定 评价 |
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| A Neural Network Method for Analyzing Compass Slope Stability of the Highway |
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| Abstract:Slope stability generally depends on some elusive and nonlinear factors. The artificial neural network is characterized by parallel processing of data and information, high fault tolerance and antinoise capacities. It can self-adaptively derive complicated nonlinear relations from sample examples and simulate human brain activities and is therefore suited for evaluating the stability of the nondeterministic slope. The authors have created a neural network BP model for slope stability analysis. On the basis of collected slope analyzing examples,the BP model was used to examine slope stability along Section K250 arterial highway between Guilin and Liu zhou. The result shows that the neural network method is very effective in analyzing slope stability. |
| keywords:neural network BP model slope stability appraisal |
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