软土地基沉降预测的人工神经网络方法与应用  

Application of Neural Network in Predicting Settlement of Soft Soil Foundation

作　　者：冯守中[1] 杨进良[1] 阎澍旺[1] 

机构地区：[1]天津大学建工学院,天津300072

出　　处：《港工技术》2004年第1期43-45,共3页Port Engineering Technology

摘　　要：:利用神经网络强大的非线性映射能力 ,提出了一种基于 BP神经网络模型的软土地基沉降量的预测方法 ,可对不同情况下软土路基沉降量进行合理地预测。实例检验证明 ,该方法收敛速度快 ,预测的可靠性令人满意。Neural network is an effective method for analyzing the nonlinear engineering problems. The settlement of soft soil foundations depends on many factors.Based on Neural Network method,a BP NN has been developed to predict the settlement of soft soil foundation.With this method, reasonable results can be drawn out for different soil conditions.This method has been applied to a practical engineering project.Analyzing results show that this method converge quickly and the results are reliablc.

关 键 词：软土地基 沉降预测 人工神经网络 收敛速度 弹性模量 

分 类 号：TU433[建筑科学—岩土工程] TP183[建筑科学—土工工程]