基于动态参数线性回归模型的路堤沉降预测

Embankment Settlement Prediction Based on Dynamic Parameter Linear Regression Model

随着观测信息的丰富,常规的线性模型的不足凸现,影响了模型的精度。为了克服常规模型的缺点提出了动态参数线性回归模型。根据动态参数线性回归模型要求,在参与建模数据个数保持不变的情况下,利用新观测的数据取代旧有的数据,获取新的模型参数,进而建立动态参数线性回归模型,并进行沉降预测。通过实例验证,效果比较理想。

Linear regression model is one of the most widely used methods in the prediction of embankment settlement. With the data augmented, the disadvantages of traditional linear model stand out extremely, so that the accuracy of prediction reduced. To overcome deficiencies in the traditional model, regression linear dynamic model is put forward. This model requests that the number of data used to make model is kept unchanged, new data replaced the old data, so the new parameter is gained. Ideal result is gotten through the instance.