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grey model forecast 灰色GM预测
Through the example, it indicate that segmentation grey model has higher fitting precision and forecast precision. 通过实例应用表明,分段灰色校正模型具有较高的拟合精度和预测精度。
Grey model (GM) method can meet the request of forecast due to its strengths of little original data needed and high precision. 灰色模型由于需要的原始数据较少,精度较高等优点,能满足油气操作成本预测的要求。
To study the law of body weight change of Glucocorticoid rats ,The Grey model GM (1, 1) was used to analyze and forecast the change of the rats bodyweight. 长期应用糖皮质激素可造成大鼠的体重明显下降,本文用生理盐水作对照,应用灰色系统的GM(1,1)模型,对长期灌用泼尼松的大鼠体重变化进行分析和预测,从而探讨糖皮质激素对大鼠体重变化的影响规律。
Grey model theory for woman body is given and described. 提出和描述了灰色模型理论。
Methods Grey model(1,1) was applied and residual was amel iorated. 方法应用GM(1,1)模型对中山试点血吸虫病患病率建模并进行残差修正 ,进行 3年预测。
The thesis analyse the characteristic of regression method, grey model and exponential flatless model in theory and apply it to forecast the cargo capacity and container throughtput of fangcheng port. 通过对现有文献资料的整理、归纳与检索，本论文提出了在北部湾广西三港建立组合港的观点。
The forecast waterborne cargo volume in Jiangsu is done in the sixth section, many mathematic models, such as grey model GM(1,1) and linear regression analysis, have been used here and qualitative analyses such as Delphi techniques are also used. 第六部分江苏省内河货运总量预测，利用数学模型进行江苏省内河货运总量预测，包括二次指数平滑法、灰色模型GM(1，1)、弹性系数法、多元线性回归法的定量预测模型，此外还结合德尔菲法、情景分析法的定性预测方法，得到江苏省内河航运未来二十年(水平年：2010年，2020年)的内河总货运量的预测结论。
GREY MODEL(GM) AND TECHNICIAN FORECAST 灰色模型(GM)与人才预测
The environmental effect of surface mining on the groundwater was studied by leaching experiment and model forecast. 通过淋溶实验和模型预测对露天开采对地下水的影响进行了研究。
An algorithm based on grey model to predict idle period for DPM is proposed in order to improve the accuracy of predicted results. 摘要为提高空闲预测的准确性，提出基于灰色模型的空闲预测算法。
Grey model is an exponential model,which has high precision to observation data series fiting in with exponential rule. 灰色模型是一种指数模型,它对于符合指数规律的观测数据序列具有较高的精确度。
The hybrid forecast approach of combining the ARMA mathematical model forecast approach and Radial Basis Function neural network approach is proposed. 提出了将ARMA（自回归滑动平均模型）数学模型预测法与基于径向基函数的神经网络相结合的混合预测方法。
This paper develops grey model, and offers modified grey model, and uses it to embankment settlement research. 本文在灰色模型的基础上进行改进，提出了修正灰色模型，并将其应用于路基沉降研究。
At last,GM(1,1) grey model is used for fitting and to predict the production of the gas wells. 引用GM(1,1)灰色模型对气井的产量进行拟合,并在此基础上进行了产量预测。
But grey model has some shortcomings, as GM (1, 1) is an increasing exponent model, which is of unlimited increase. 但灰色模型有不足之处，主要是GM(1,1)预测模型是增长指数模型，具有无限增长的特性。
Among most curve fit methods, grey model curve can be used to describe embankment settlement. 摘要在众多的曲线拟合方法中，灰色模型曲线可以用来描述路基沉降。
Grey Model is with the characters of less date, high precision and without prior information. 灰色模型具有所需数据少、预测精度高和无需先验信息的特点。
The grey model is with the characters of less data, high precision and without prior information. 摘要灰色模型具有所需数据少、预测精度高和无需先验信息的特点。
First, the old smoothed values estimated from the grey model GM(1,1) need further discussion and clarification. 首先，以灰色模式GM(,1)计的前期平滑值需被进一步讨论与确认。