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灰色优化模型     
相关语句
  grey majorized model
     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
  grey optimum model
     In order to improve the forecasting accuracy,the improved models,such as grey optimum model and Verhulst model,are carried out for forecasting original reliability parameter separately.
     为了提高预测精度,分别应用灰色优化模型和Verhulst模型等改进模型进行可靠性原始参数的预测。
短句来源
     The Grey Optimum Model of Testing Moisture Regain of the Ramie Fabric and Its Error Analysis
     苎麻纤维回潮率测试的灰色优化模型及误差分析
短句来源
  “灰色优化模型”译为未确定词的双语例句
     Study on the GOM of relaxation of autofrettaged residual stresses
     自增强残余应力松弛的灰色优化模型研究
短句来源
     First of all, in the paper, the author introduces the basic theories and models, and especially does the systemic research on time series models, grey models, regression models and RBF neural network model, and moreover brings the grey Markov-chain residual modification model, the grey Fourier residual modification model, the grey model on time series error corrected, GOM model and grey nonlinear model to the port container throughput forecasting for the first time.
     本研究着重分析了时间系列模型、灰色系列模型、回归模型和RBF神经网络模型四大类预测模型的特点,将灰色马尔科夫链模型、灰色傅利叶模型、时序残差修正模型、灰色优化模型和灰色非线性模型引入到港口集装箱吞吐量预测中。
短句来源
     The predication results show that the gray optimizing-Markov model based on the load-settlement curve can improve the precision of prediction compared with GM(1,1) model and gray optimizing model. A new way is provided for the predication of bearing capacity of overlength piles.
     使用该模型预测超长桩的承载力,预测值和试验值吻合较好,与GM(1,1)模型、灰色优化模型相比,预测精度进一步提高,为超长桩承载力的预测提供了新的方法。
短句来源
     An intensive research on the way of predicting the relaxation of autofrettaged residual stresses based on the Gray System Theory has been launched. The limitations and improvements of applying the Grey Prediction GM(1,1) model are analyzed. According to the characteristic of the relaxation of autofrettaged residual stresses,the Grey Optimal Model(GOM) of its regularity under the circulated inner pressure is established.
     深入研究了基于灰色系统理论的自增强残余应力松弛的预测方法,剖析了灰色预测GM(1,1)模型应用的局限性及其改进方法,根据自增强残余应力松弛的特点,建立内压循环下自增强残余应力松弛规律的灰色优化模型(GOM).
短句来源
  相似匹配句对
     Using optimization principl
     优化;
短句来源
     Grey Optimization of Securities Combination
     证券组合的灰色优化
短句来源
     The Optimization of Grey Model GM (1,1)
     灰色模型GM(1,1)优化
短句来源
     A Grey Optimization Model on Transmisson Net work Expansion Strategx
     基于灰色模型的输电网优化方法
短句来源
     Grey Prediction Optimal Model in Dynamic Adjustment
     动态平差灰色预测优化模型
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

The grey modeling method has been developed according to the theory of the grey system and is used for correlation analysis of experimental data. Compared with the method of data regression, the grey model analysis (GMA) enjoys an obvious advantage. It can enhance the reliability of prediction in particular, in the testing of samples of small size. In this paper, the grey GM (1,2) model and grey optimum GM (1,2) model for the testing and analysis of the fineness of ramie fiber are described. Correlation analysis...

The grey modeling method has been developed according to the theory of the grey system and is used for correlation analysis of experimental data. Compared with the method of data regression, the grey model analysis (GMA) enjoys an obvious advantage. It can enhance the reliability of prediction in particular, in the testing of samples of small size. In this paper, the grey GM (1,2) model and grey optimum GM (1,2) model for the testing and analysis of the fineness of ramie fiber are described. Correlation analysis is then performed to predict the relationship between the data Tex (sample Y) and the data projection breadth (sample X). The error is evaluated and proves acceptable. The model for testing the fineness of ramie fiber established on it provides a concise and scientific method for technical control of production, quality inspection and supervision.

采用灰色系统理论建立了苎麻纤维Tex数Y与投影宽度X之间的灰色GM(1,2)模型和灰色优化GM (1,2)模型.通过误差分析与对比,指出利用灰色优化模型可以真实地拟合苎麻纤维投影宽度和Tex数真值之间的 关系.为生产工艺控制、产品质量检验和监督提供了一种简便而科学的方法.

Based on gray theory,an unequal step length gray differential equation was presented to describe bearing capacity of overlength piles,and obtain its accurate solution.Error objective function was created based on optimization theory,further used least squares method to get the system parameters of the differential equation.In order to improve the accuracy of model,according to Markov theory,dividing the test value of gray optimizing model into n kinds of states based on predicating fitting curve,and getting...

Based on gray theory,an unequal step length gray differential equation was presented to describe bearing capacity of overlength piles,and obtain its accurate solution.Error objective function was created based on optimization theory,further used least squares method to get the system parameters of the differential equation.In order to improve the accuracy of model,according to Markov theory,dividing the test value of gray optimizing model into n kinds of states based on predicating fitting curve,and getting one-step transfer matrix to forecast bearing capacity of overlength piles.The predication results show that the gray optimizing-Markov model based on the load-settlement curve can improve the precision of prediction compared with GM(1,1) model and gray optimizing model.A new way is provided for the predication of bearing capacity of overlength piles.

为了提高模型预测的精度,根据灰色理论,建立超长桩承载力的非等步长灰色微分方程,得到了微分方程的精确解。基于优化理论,建立误差目标函数。利用最小二乘法,直接求得微分方程的系统参数,得到灰色优化模型。以此模型为基础划分n个状态,应用Markov原理,通过计算状态的一步转移概率矩阵,建立了灰色优化-马尔柯夫预测模型。使用该模型预测超长桩的承载力,预测值和试验值吻合较好,与GM(1,1)模型、灰色优化模型相比,预测精度进一步提高,为超长桩承载力的预测提供了新的方法。

 
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