关键词: 水位, 函数拟合, 高斯混合模型, 数据挖掘, 最小二乘法

Abstract:

Function fitting is an important data mining technique.In this paper,the modified Gauss type mixed model is applied to the study of the changing pattern of the water level in order to make accurate prediction of the water level.Firstly,we make a pretreatment of the ten years data of the water level and establish a Gauss-like mixed model which satisfies the smallest loss function via curve fit.Then,we construct an overdetermined linear equations and use the least square method to obtain the corresponding weight.Finally,we get a weighted model and examine the rationality of the model and make some improvements.

Key words:

"> Water level, Function fitting, Gauss mixed model, Date mining , Least square method