摘要
以 BP人工神经网络为基础 ,利用其强大的非线性映射能力 ,建立深基坑支护结构最大侧向位移的预测模型。在利用实测数据进行网络训练的基础上 ,对悬臂支护结构最大侧向位移进行预测 ,结果表明预测值与实测值吻合较好 ,显示了该方法进行深基坑变形预测的有效性。
A Back Propagation neural network was used to predict lateral wall deformatioms in excavation. The measued data are used to train and test neural network. The predicted data have a good agreement with the measured data. The results indicat the validity of BP neural network for prediction of lateral wall movements in excavations.
出处
《南京工业大学学报（自然科学版）》
CAS
2002年第5期73-76,共4页
Journal of Nanjing Tech University(Natural Science Edition)
关键词
人工神经网络
深基坑工程
变形预测
artificial neural networks
excavation
prediction of deformation
