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grey majorized model
相关语句
  灰色优化模型
     Application of Grey Majorized Model in Tunnel Surrounding Rock Displacement Forecasting
     隧道围岩位移的灰色优化模型预测
短句来源
     The GM(1,1) grey majorized model is built based on majorized grey model background value generally be used simulation and prediction of equidistant or non-equidistant and low or high growth data sequent of surrounding rock displacement in tunnel. Data sequent characters of Ⅰ,Ⅱand Ⅲ shape of surrounding rock displacement can be simulated and predicted better by the grey majorized model, and the model has higher simulation and prediction accuracy.
     这种以优化灰色模型背景值为基础构建的灰色优化模型 ,普遍适用于隧道围岩位移等间距或非等间距以及低、高增长监测数据序列的位移预测 ,能很好地模拟预测隧道围岩位移的Ⅰ型、Ⅱ型、Ⅲ型时序变化特征 ,且都能获得很高的模拟和预测精度
短句来源
  相似匹配句对
     On grey function
     灰色函数
短句来源
     Grey MOSCOW
     灰色莫斯科
短句来源
     Application of Grey Majorized Model in Tunnel Surrounding Rock Displacement Forecasting
     隧道围岩位移的灰色优化模型预测
短句来源
     Grey Models and Its Applications
     灰色GM模型及其应用
短句来源
     Grey Engel model
     灰色恩格尔模型(GEM)
短句来源
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Original grey GM(1,1) model usually be used simulation and prediction of equidistant monitoring data sequent. But to non-equidistant and high growth data sequent, the grey GM(1,1) model have to be built through equidistant treatment of non-equidistant data or non-equidistant grey model have to be built through complex transfermation , and usually larger lagging error. In time sequent interval, in order to majorize and increase accuracy of background value z (1) (k+1), the area of interval and GM(1,1)...

Original grey GM(1,1) model usually be used simulation and prediction of equidistant monitoring data sequent. But to non-equidistant and high growth data sequent, the grey GM(1,1) model have to be built through equidistant treatment of non-equidistant data or non-equidistant grey model have to be built through complex transfermation , and usually larger lagging error. In time sequent interval, in order to majorize and increase accuracy of background value z (1) (k+1), the area of interval and GM(1,1) function curve envelope has been replaced by n small interval trapezoidal area.The GM(1,1) grey majorized model is built based on majorized grey model background value generally be used simulation and prediction of equidistant or non-equidistant and low or high growth data sequent of surrounding rock displacement in tunnel. Data sequent characters of Ⅰ,Ⅱand Ⅲ shape of surrounding rock displacement can be simulated and predicted better by the grey majorized model, and the model has higher simulation and prediction accuracy.

传统灰色GM(1,1)模型 ,多适用于等间距和低增长序列监测数据的模拟预测 ;对非等间距和高增长序列 ,一般经过等间距处理或经过复杂的变换建立非等间距模型进行预测 ,且往往产生较大的滞后误差。在时间序列 [k ,k + 1]区间上 ,用n个小区间的梯形面积代替 [k ,k + 1]区间上GM(1,1)函数曲线对应的面积 ,以优化提高背景值z( 1) (k + 1)的精度。这种以优化灰色模型背景值为基础构建的灰色优化模型 ,普遍适用于隧道围岩位移等间距或非等间距以及低、高增长监测数据序列的位移预测 ,能很好地模拟预测隧道围岩位移的Ⅰ型、Ⅱ型、Ⅲ型时序变化特征 ,且都能获得很高的模拟和预测精度

 
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