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优化灰色模型
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  optimized grey model
     Application of Optimized Grey Model in Long-medium Term Electric Power Load Forecast
     优化灰色模型在中长期电力负荷预测中的应用
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     The Application of Optimized Grey Model in the Load Forecasting of Power System
     优化灰色模型在负荷预测中的应用
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     (6) Giving some examples, we analyze the application of these models,in the coast deformation forecast, such as optimized grey model ,NN model ,multinomial statistic model ,which can reach high accuracy and universal applicability.
     (6)结合具体应用实例,分析了优化灰色模型、神经网络模型及多项式回归统计模型在滑坡变形破坏预测预报中的应用。 研究成果表明,这些模型能得到很高的预测预报精度,且具有较普遍的适用性。
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  “优化灰色模型”译为未确定词的双语例句
     Application of intelligent optimization grey model in middle-term electricity demand forecasting
     智能优化灰色模型在中期用电量预测中的应用
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     The Application of Particle Swarm Optimization Based Grey Model to Power Load Forecasting
     粒子群优化灰色模型在负荷预测中的应用
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     Application of combined optimum grey model to mid and long term load forecasting
     组合优化灰色模型在中长期电力负荷预测中的应用
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     Combined Optimum Grey Model for Mid-Long Term Electric Capacity Forecasting under Different Growing Trends
     不同增长趋势下中长期电量预测组合优化灰色模型
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     Application of a Modified Grey Model in the Processing of Physical Chemistry Experimental Data of Building Materials
     优化灰色模型在建材测试数据处理中的应用
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     A Grey Optimization Model on Transmisson Net work Expansion Strategx
     基于灰色模型的输电网优化方法
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     Grey Prediction Optimal Model in Dynamic Adjustment
     动态平差灰色预测优化模型
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     The Optimization of Grey Model GM (1,1)
     灰色模型GM(1,1)优化
短句来源
     The Optimum Model of GM(1,1)
     灰色GM(1,1)优化模型
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     A Grey Linear Programming Model for Optimal COntrol of Reactive Power Flow
     无功优化控制灰色线性规划模型
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Grey system theory is a new cross course by China famous scholar professor DENG Ju_long founded in 1982 . Grey model of the theory was applied extensively and gained a series of significant achievement in natural science and social science. It be used mid_long_term forecasting of slope or landslide and had high accuracy in geologic hazard study. But when themodel be used short_impending slip forecasting ,it's accuracy was relatively poor even not suit ,so it had been much room for improvement. Actual example...

Grey system theory is a new cross course by China famous scholar professor DENG Ju_long founded in 1982 . Grey model of the theory was applied extensively and gained a series of significant achievement in natural science and social science. It be used mid_long_term forecasting of slope or landslide and had high accuracy in geologic hazard study. But when themodel be used short_impending slip forecasting ,it's accuracy was relatively poor even not suit ,so it had been much room for improvement. Actual example of slide deformation make known that majorized GM(1,1) model based on majorized grey model ground value had a majorization bility to model results. This majorizant model had not only applied to mid_long_term forecasting of slope deformation, but also suited to short_impending slip forecasting of landslide and had relative high forecasting accuracy. Correctness and extensive application of the majorized GM(1,1) model was examined by contrasting analysis of original linear GM(1,1) model and non_linear Verhulst model. The study not only enriched analysis method of landslide deformation forecasting ,but also had momentous theory and practice significance.

灰色模型在社会科学、自然科学的许多方面已得到广泛的应用 ,并取得了一系列重大成果。在斜坡 (滑坡 )地质灾害研究方面 ,灰色模型多用于斜坡 (滑坡 )变形的中长期预测预报 ,且精度较高 ;但对滑坡短临预测预报精度较差 ,甚至不能适用 ,有待改进。滑坡变形预测预报的实际算例表明 ,以优化灰色模型背景值为基础的优化GM(1,1)模型 ,具有对建模结果进行优化的能力 ,即能用于斜坡变形的中长期预测预报 ,又能适于滑坡短临预测预报 ,且都能获得较高的模拟和预测精度。应用传统线性GM(1,1)模型和非线性Verhulst模型进行对比分析 ,检验了优化GM(1,1)模型的正确性和较广泛的适用性

Original grey GM(1,1)model is often used in modeling-forecasting of equidistant monitoring data sequent.But for non-equidistant data sequent,had to build the grey GM(1,1)model through equidistant treatment or to build non-equidistant grey model directly through complex transfermation and caculation.From the point of modeling forecasting the original GM(1,1) model can get high modeling-forecasting accuracy only for slope deformation in low growth date sequent.But it will have large lagging error in high growth...

Original grey GM(1,1)model is often used in modeling-forecasting of equidistant monitoring data sequent.But for non-equidistant data sequent,had to build the grey GM(1,1)model through equidistant treatment or to build non-equidistant grey model directly through complex transfermation and caculation.From the point of modeling forecasting the original GM(1,1) model can get high modeling-forecasting accuracy only for slope deformation in low growth date sequent.But it will have large lagging error in high growth data sequent.Genaral adequate GM(1,1) model was built based on majorized grey model background value.It not only be used in equidistant low and high growth monitoring data sequent of slope deformation,but also be used non-equidistant low and high growth data sequent and the model had higher modeling-forecasting accuracy.The majorized GM(1,1) model has general adequaence for modeling-forecast of slope deformation.

传统灰色GM (1,1)模型 ,多适用于等间距监测数据序列的模拟预测 ;对非等间距序列 ,一般经过等间距处理或经过繁复的变换计算直接建立非等间距模型。从边坡变形模拟预测的角度来讲 ,传统灰色GM (1,1)模型只有当边坡变形呈低增长序列时 ,才能获得较高的模拟和预测精度 ,而对呈高增长序列的边坡变形往往产生较大的滞后误差。以优化灰色模型背景值为基础构建的普适GM (1,1)模型 ,不仅适用于边坡变形等间距监测数据的低、高增长序列 ,而且适用于非等间距的低、高增长序列 ,且都能获得很高的模拟和预测精度 ,对边坡变形的模拟预测具有普遍的适用性。

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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