并建立了年用电量灰色动态模型(GM)。使测量的电量达到一级精度。
A grey model (GM) of annual demand was established, this upgrades the precision of demand prediction to first class.
在此基础上，采用GM(1,1)灰色动态模型预测西川河流域降雨入渗量随水土流失治理度的变化趋势。
A gray dynamic model is put forward to the infiltration quantity tendency in the Xichuan catchment was predicted by a gray dynamic model, GM (1, 1).
灰色预测模型为矿井瓦斯涌出量时间动态数列的预测提供了一条新的途径。
The grey prediction model provides a new way for predicting the time dynamic numerical array of mine gas emission rate.
研究提出了原始数据序列的动态摆动指数变换方法和GPPM(1)灰色模型。
The dynamic swing index transformation method of firsthand data sequence and GPPM (1) grey model is studed and set up.
结合心跳策略和灰色预测方法，设计了一种动态心跳机制，并给出了预测模型和实时预测策略；
Combining heartbeat strategy with grey prediction method, a dynamic heartbeat strategy was designed, and the prediction model was presented, as well as a real-time prediction strategy.
根据十项全能训练的结构特点，运用灰色系统理论的分析了法建立了十项全能训练的动态协调模型。
A dynamic and balanced model for decathlon training was designed based on the structure and features of decathlon training and the grey system theory.
通过实际查验旅客车票并同时记录该旅客的进站时间，基于灰色动态理论，建立旅客的候车时间模型。
By adopting the method of looking over the tickets of passengers and recording the time when they enter the stations, a waiting time model is established on the basis of the gray dynamic theory.
针对这一特点，用灰色动态预测模型对电力远期价格进行了预测，并对不同模型的预测结果进行了研究。
A gray dynamic model is present to forecast electricity forward price and results of different models are studied.
在固定参数动态灰色预测模型基础之上进行改进，提出了可变参数动态灰色预测模型。
A variable parameter value rolling grey forecasting model (RGM) is constructed, which makes an enhancement to the fixed parameter value RGM.
此外还提出了用GM(1,1)模型对残差进行修正的灰色动态数据模型。
Besides, the grey dynamic data model that the residual is adjusted by GM (1, 1) is given.
现有六种油气田动态预测的灰色系统模型，但在实际应用中需要根据具体油气田选择适当的模型。
There are six grey models of dynamic prediction of oil and gas fields, but an appropriate model should be selected according to a certain oil or gas field in practice.
灰色模型实时误差预报修正的动态测量误差序列同样为随机过程，也具有上述基本特性。
The series of dynamic measuring errors of the predicting correction of real-time errors of gray model is also a random process and has these four basic characteristics.
基于机械加工误差的特点，利用灰色系统理论建立轴承磨削加工过程尺寸误差动态分析的数学模型。
The mathematical model is established for the dynamic distributions of dimension errors in bearing grinding process by means of the Grey theory.
根据一些径流小区的试验资料，运用灰色系统理论，建立降雨量、径流量、土壤侵蚀灰色系统动态模型。
Being based on the runoff plot investigations, a dynamic model of grey systems about the rainfall, the runoff rate and the soil erosion was introduced by using the grey systems theory.
因此，动态灰色预测模型在大坝变形的预测预报中比静态预测模型具有更高的应用价值。
Therefore, the dynamic gray forecast model had higher value than static model in dam deformation forecast.
根据灰色系统理论，提出一种残差修正的等维灰数据动态预测模型。
A new forecasting model the Equal Dimension Grey Data Dynamic forecasting model Corrected by Remnant Error was proposed based on the Grey System Theory.
研究了隧洞施工中地表沉降动态预测模型，提出了时变参数灰色—时序动态预测模型，并建立了一种改进的时变灰色模型。
The dynamic data forecasting model of ground settlement is studied, a new prediction model of grey-time serial with time-varying parameters characters is proposed.
本文建立了灰色与周期残差叠加模型，并运用模型预测了地下水的变化动态。
Therefore, in this pape we discuss the grey properties of groundwater system, give a superposed model of grey and cyclic error, and forecast the dynamics of the groundwater system by the model.
使用改进的GM（1，1）模型，即滚动灰色GM（1，1）模型，其中模型初始点是动态且最佳的，并减少了系统误差。
This paper introduces the trundle gray GM(1,1) model, which is improved from GM(1,1) model and has the best initial point and cuts down system errors.
采用对舰艇运动的坐标跟踪法，应用灰色预测技术，建立舰艇的灰色预测动态模型。
Using grey prediction and coordinate tracking, this paper sets up a dynamic grey prediction model for a ship.
在建立了中国煤炭总产量的GM(1,1)灰色系统动态预测模型，通过检验，证明建立的模型是正确的，具有一定的参考价值。
The GM (1, 1) grey forecasting dynamic model about China's coal output, which is tested, is proved that the model is correct, and has some reference value.
在建立了中国煤炭总产量的GM(1,1)灰色系统动态预测模型，通过检验，证明建立的模型是正确的，具有一定的参考价值。
The GM (1, 1) grey forecasting dynamic model about China's coal output, which is tested, is proved that the model is correct, and has some reference value.
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