BP神经网络在振冲碎石桩复合地基承载力预测中的应用

在分析振冲碎石桩复合地基承载力影响因素的基础上，结合江苏某高速公路工程的振冲碎石桩承载力试验结果，利用BP神经网络强大的非线性映射能力，建立了基于BP神经网络的复合地基承载力预测模型。模型预测结果表明:利用BP神经网络来预测振冲碎石桩复合地基承载力的方法是可行的。

Forecast on the Bearing Capacity of Composite Foundation of Vibro-replacement Gravel Pile Based on BP Neural Network

The forecast model of composite foundation bearing capacity based on BP neural network is established utilizing the strong nonlinear mapping capacity of BP neural network and combining with the test result of bearing capacity of vibro-replacement gravel pile of a highway project in Jiangsu Province on the basis of analyzing the influencing factors of composite foundation bearing capacity of vibro-replacement gravel pile. The model forecast results show that using BP neural network to forecast the composite foundation bearing capacity of vibro-replacement gravel pile is feasible.