人工神经网络在边坡稳定分析中的应用  

Application of BP neural network in slope stability

作　　者：翟永勇[1] 

机构地区：[1]江苏华东建设集团有限公司,江苏南京210007

出　　处：《河南城建学院学报》2013年第3期37-39,46,共4页Journal of Henan University of Urban Construction

摘　　要：影响边坡工程稳定性的因素很多,边坡的稳定性和这些因素之间存在着很强的非线性关系。通过构造边坡稳定性分析的BP神经网络模型,对某样例中的边坡参数进行神经网络训练,训练的结果表明该方法能较为全面地考虑实际边坡的非确定性,结果是合理的。The stability of slope is influenced by many factors, and a strong nonlinear relationship was estab-lished between the stability and the factors. It is a complex nonlinear system. The model about slope stability based on BP neural network is constructed. BP neural can construct the nonlinear relationship between factors and slope stability through the learning of the example, and the result shows that the method can described the uncertain characteristics of practical slope problems and the analysis result is reasonable.

关 键 词：边坡 稳定分析 BP神经网络 

分 类 号：TU457[建筑科学—岩土工程]