灰色模型的整體最小二乘解算及應用
發(fā)布時間:2018-11-06 12:37
【摘要】:目前,灰色模型在變形監(jiān)測數(shù)據(jù)處理及預報中的應用越來越廣泛。針對系數(shù)矩陣和預測值存在的誤差,該文采用整體最小二乘法,結合黑龍江省農(nóng)業(yè)科學院在江北科技創(chuàng)新城核心區(qū)建設的國際農(nóng)業(yè)科技創(chuàng)新中心工程,選取其中一個沉降監(jiān)測點進行分析。實驗結果表明,該方法的擬合精度更高,適用于變形監(jiān)測數(shù)據(jù)處理。
[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.
【作者單位】: 遼寧工程技術大學;
【基金】:遼寧省教育廳重點實驗室項目(LJZS001)
【分類號】:TU196.1
,
本文編號: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.
【作者單位】: 遼寧工程技術大學;
【基金】:遼寧省教育廳重點實驗室項目(LJZS001)
【分類號】:TU196.1
,
本文編號:2314287
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