摘要
利用人工神经网络原理对某大型高炉实测沉降,建立了具有非线性时间序列的预测模型,通过实例验证,预测效果良好,为预测我国软土地基上大型设备基础及高层建筑的桩基沉降提供了一种新的方法。
The paper suggests the forecasting model about objects that have nonlinear time sequence by using neural network model, and verifies in through an example. It can be seen from the result that this method is scientific and reasonable, which provides a new way for prediction of large equipment foundation settlement.
出处
《建筑施工》
2000年第2期43-44,共2页
Building Construction
关键词
神经网络
时间序列
沉降预测
设备基础
高炉沉降
neural network
nonlinear time sequence
settlement prediction
error backpropagation