BP神经网络在悬浮桩复合地基沉降预测中的应用

BP Nervous Network Applied to Prediction of Settlement in Hanging Pile Composite Ground

针对悬浮桩加固深厚层软土地基,提出了根据前期沉降观测资料进行沉降预测的BP神经网络模型.工程实例验证表明:该模型预测精度高,简便易行,可为今后的悬浮桩复合地基沉降预测和计算提供参考.

To solve the technical problem in settlement prediction of hanging pile composite ground, a new settlement prediction model according to the magnitude of the post-construction settlement is presented based on BP nervous network theory in this paper. The calculation results from an engineering example display that this method is more accurate and easier to be operated. It can be a reference to the forecast and calculation of settlement of hanging pile composite ground in the future.