灰色模型的整体最小二乘解算及应用
发布时间：2018-11-06 12:37
【摘要】：目前,灰色模型在变形监测数据处理及预报中的应用越来越广泛。针对系数矩阵和预测值存在的误差,该文采用整体最小二乘法,结合黑龙江省农业科学院在江北科技创新城核心区建设的国际农业科技创新中心工程,选取其中一个沉降监测点进行分析。实验结果表明,该方法的拟合精度更高,适用于变形监测数据处理。
[Abstract]:At present, grey model is more and more widely used in data processing and prediction of deformation monitoring. Aiming at the error of coefficient matrix and prediction value, this paper adopts the integral least square method and combines with the construction of the International Center of Agricultural Science and Technology Innovation Center of Heilongjiang Academy of Agricultural Sciences in the core area of Jiangbei Science and Technology Innovation City. One of the settlement monitoring points is selected for analysis. The experimental results show that this method is more accurate and suitable for deformation monitoring data processing.
【作者单位】： 辽宁工程技术大学;
【基金】：辽宁省教育厅重点实验室项目(LJZS001)
【分类号】：TU196.1
，
本文编号：2314287
[Abstract]:At present, grey model is more and more widely used in data processing and prediction of deformation monitoring. Aiming at the error of coefficient matrix and prediction value, this paper adopts the integral least square method and combines with the construction of the International Center of Agricultural Science and Technology Innovation Center of Heilongjiang Academy of Agricultural Sciences in the core area of Jiangbei Science and Technology Innovation City. One of the settlement monitoring points is selected for analysis. The experimental results show that this method is more accurate and suitable for deformation monitoring data processing.
【作者单位】： 辽宁工程技术大学;
【基金】：辽宁省教育厅重点实验室项目(LJZS001)
【分类号】：TU196.1
，
本文编号：2314287
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