The latest precipitation forecast from the GFS ensemble model predicts the possibility of rains of around 1/2 inch for Shandong Province early next week, but these rains would help only a little.
最新的全球天气预报系统（GFS）预测下周初山东将有1/2（12毫米）英寸降雨的可能，但这对缓解旱情帮助甚微。
However, the precision of GM (1, 1) grey forecast model are not preferable to model the monitoring series with obvious seasonality.
然而直接应用GM(1,1)灰色模型分析和预报具有季节性的监测序列时往往精度不高。
Random and volatile data of road traffic accidents show poor fitness and low accuracy if forecast by means of the traditional grey model GM (1, 1).
采用传统灰色GM(1,1)模型预测道路交通事故这类随机性、波动性较大的数据，存在拟合较差、精度不足等问题。
Because many uncertain factors impact the internal resistance, this paper give a real time method and establish a dynamic innovation forecast model of GM (1, 1).
同时针对影响内阻变化的因素太多且不确定的情况，提出了实时在线的方法建立起动态新息的GM(1,1)预测模型。
The engineering practice proves that GM(1, N) model possesses rather good precision and forecast dependability comparing with GM(1,1) model , which hase some applied value on settlement forecast.
通过工程实例，证明GM（1，N）模型与GM（1，1）模型相比有较好的拟合精度和预测可靠度，对沉降预测有很大参考价值。
The GM (1, 1) forecast model fits in with mainly the smooth data sequence.
灰色预测模型GM(1,1)主要适用于光滑数据序列的预测。
In order to improve the forecast precision of modified GM (1, 1) model, a new parameter estimation formula based on accumulating method to modified GM (1, 1) model is proposed.
为了提高新息改进GM(1,1)模型的预测精度，引入累积法对新息改进GM(1,1)模型的参数进行估计，给出了新的参数估计公式。
The power load forecast accuracy is higher when GM (1, 1) model is applied for the exponential increasing load, while it is not acceptable when the load is influenced by different factors.
灰色预测系统GM(1,1)模型用于负荷按指数增长态势变化时，预测精度较高，但当影响负荷的因素较多、模型灰度较大时，精确度就不够理想。
The forecasting results demonstrate that the GNNM (1, 1) model has higher adaptability and forecast precision for city electricity demand forecasting.
算例计算表明，与灰色预测方法相比，GNNM(1,1)模型具有更强的适应性和更高的预测精度，适用于城市年用电量预测。
We establish and accomplish the improved GM (1, 1) forecast model for the forward price in power market, which is based on the grey theory.
建立和实现了基于灰色理论的电力市场期货价格的改进GM(1,1)预测模型。
The forecast result of high precision is got in forecast of foundation pit deformation by GM (1, 1) model by means of selecting original data alignment and revision of residual error.
在采用GM(，1)型预测基坑支护变形，通过选取恰当的原始数据序列，并进行残差修正，能得到精度很高的预测结果。
The study work of this paper as follows:(1) Price forecast model for chemical product is established and verificated which is based on grey system theory.
本文进行的研究工作如下：（1）基于灰色系统理论的化工产品价格预测模型的建立及验证。
The GM (1, 1) model modified by the residual error identification method was used to forecast the gas emission, achieving a higher precision.
采用残差识别方法修正GM(1,1)模型进行瓦斯涌出量预测，预测精度更高。
ARMA (1, 1) model is established to forecast the settlement during constructing subgrade and the time for next load.
建立了ARMA(1, 1)模型来对公路施工填筑期间的沉降进行短期预测，进而对下一级加载的时间进行预测。
Gray GM (1, 1) model has been widely applied to analysis and forecast data from different area due to creativity and novelty of establishing model thought.
灰色GM(1,1)模型由于其建模思维的独创性和新颖性，广泛应用于包括环保在内的多个学科领域的数据分析及预测之中。
It is designed to attach importance to the unknown connection between forecasting value and real value which is obtained by GM (1, 1) model with artificial neural networks and to forecast again.
此方法是用人工神经网络去把握灰色GM(1,1)所得到的预测值和实测值之间的未知关系，再进行新的预测。
GM (1, 1) model of unequal time span forecast of ground settlement is established based upon Grey theory. The result can be amended.
应用灰色理论，建立了不等时距的地基沉降预测GM(1, 1)模型，并可对结果进行修正。
This article forecast the tendency of Nanjing residents' income gap in the following years using GM (1, 1) model integrating the qualitative analyses.
结合对未来几年南京居民收入差距趋势的定性分析，利用GM(1,1)灰色预测模型对南京居民收入差距的发展趋势进行了定量预测。
We usually use the traditional remnant GM (1, 1) model to forecast the acid rain frequency.
目前预测酸雨频率多采用传统的残差gm(1,1)模型。
According to Grey Forecasting theory, this paper presents two sets of Grey System Model which can be applied to forecast heating load — GM (1, 1) and Grey Correction Model.
本文根据灰色预测理论，提出了两种适用于供热负荷预测的灰色系统方法——GM(1,1)法和灰色校正模型法。
The results show that using the GM (1, 1) model to forecast the tax data involves a smaller sample and less information. It's easier to build the model and the prediction precision is better.
结果表明，用GM(1,1)模型对税收数据进行预测，不仅所需样本小、信息少，而且建模简单，具有很好的预测精度。
By using GM (1, 1) model and linking it with examples, an analysis on the forecast control of quantity risk has been made.
并运用GM(1,1)模型，结合实例对存量风险的超前控制进行了分析。
Meanwhile, it is obtained the combined model of mid-long term load forecast based on the 1-order and 2-order improved forecast effectiveness optimum principle.
给出了基于一阶和二阶改进预测有效度最优级原则的中长期负荷组合预测模型。
The scale of experiment model is 1 to 2.5. Model experimental results show that numerical simulation is very effective for forecast of resistance characteristics of Marine exhaust mufflers.
按照所确定的结构制作了几何比为1：2 . 5的实验模型，模型实验结果表明，本文的数值模拟方案具有令人满意的精度，对于船用排气消声器阻力特性预估是非常有效的。
The scale of experiment model is 1 to 2.5. Model experimental results show that numerical simulation is very effective for forecast of resistance characteristics of Marine exhaust mufflers.
按照所确定的结构制作了几何比为1：2 . 5的实验模型，模型实验结果表明，本文的数值模拟方案具有令人满意的精度，对于船用排气消声器阻力特性预估是非常有效的。
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