人工神经网络在水泥喷粉桩承载力设计计算中的应用

对人工神经网络及BP（Back Propagation）网络模型作了简要介绍，并对水泥喷粉桩复合地基承载力及其影响因素的非线性关系进行了分析，提出利用地域已有水泥喷粉桩复合地基承载力及影响因素的资料建立代神经网络模型进行承载力的设计计算，通过实例验证，该模型可达到较理想的效果，可以实现水泥喷粉桩复合地基承载力的合理设计计算，为今后该类复合地基承载力的设计提供了可借鉴的方法。

Application of artificial neural network to design of bearing capacity of cement mixing piles

The theory of Artificial Neural Network (ANN) and Back Propagation (BP) model are introduced, and the nonlinear relationship between the bearing capacity of composite foundations with cement mixing piles and its affecting factors is discussed. Based on the data of existing composite foundations, a nonlinear neural network model is developed for calculation of the bearing capacity of composite foundations reinforced by cement mixing piles. Examples show that the model is reasonable, and can be referred to in the optimal design of deep mixing piles in future projects.