在数据较少或变形数据变化较大时，组合模型预测值明显优于单一模型预测值。
Under the condition of small and unstable data, the combined prediction value is superior to the single grey model.
通过对昆明市2003-2010年生活垃圾产生量进行了灰色组合模型预测，结果表明该模型的预测精度达到一级。
The result showed that the Gray Combining Predication Model's accuracy can reach first class in forecasting of Kunming urban waste output in 2003-2010.
利用混合logit模型分析和预测不同激励措施组合下农村岗位被接纳的情况。
Mixed logit models were used for analysis and to predict the uptake of rural posts under different incentive combinations.
比较各方法预测精度，赋予不同权重，建立组合预测模型。
We also compared the prognostication precision, endow differ power, and established assembled forecast model.
结果表明，融入时效函数的自适应递推优化组合预测模型比采用其它预测模型预测的结果更好。
The results show the self-adapt optimized combination forecast model covering the aging function is better than the other forecast models for gas demand forecast.
基于该文所开发的预测模型的预测结果表明，组合预测模型的预测结果优于单一模型的预测结果。
The results of using the proposed model indicate that the forecasting result of combining forecasting model is better than that of the single model.
根据北斗双星定位系统（简称双星定位）的特点，提出了北斗双星与SINS组合的最优预测模型。
According to the characteristic of Beidou double-star positing system(double-star positoin), this paper puts forward the optimal predication model of double-star position/SINS integrated system.
四是通过基于风险非线性叠加建立的期货组合风险评价模型解决了SPAN系统中期货组合风险的线性叠加问题，从而得到更合理的组合风险预测值。
Fourthly, using this model based on risk nonlinear addition solves the portfolio's risk linear addition problem in SPAN system, and this will help us to get more practical forecasting value.
并对外汇汇率数据进行了模型构造和预测。 结果表明，组合神经网络在模型的拟合精度和预测准确性方面都有提高。
Through constructing models and making predictions for the currency exchange rate data, we can see that the predictions of combined neural networks are improved.
实证结果表明，基于GMDH的组合预测模型充分的挖掘了数据中的特点，显示了其独特的优越性。
The result shows that combined forecasting model based on GMDH extracted the characteristics of data abundantly and displayed its unique superiority.
文章通过对一套市场价格预测模型体系的介绍，综合运用时间序列模型、多元非线性回归和组合模型来预测市场价格走势，探索从多角度综合预测市场价格的问题。
In this paper, a new model system is introduced, which synthetically applies time series model, nonlinear regression and combination forecasting model to forecast the change of the market price.
针对基于向量夹角余弦准则下组合预测模型，研究它的基本结构特征。
In this paper, the basic structural characteristics of combination forecasting model is studied under the criterion of vectorial Angle cosine.
最后通过比较得出趋势外推与ARMA组合模型的预测结果不仅准确性高、而且稳定性好这一结论。
Finally, a comparison of the results is made, which shows that the prediction result of the combined model based on trend extrapolation and ARMA is not only more accurate, but also more stable.
采用组合预测法对能很好反映负荷变化规律的模型赋予较大的权重，从而提高负荷预测精度，示例计算表明组合预测法的预测精度明显高于各单一模型的预测精度。
The combination forecasting method gives bigger weight to the models, which better conform with the variation of power load, and improves the precision. The sample calculation shows the truth.
在总结前人产量预测方法的基础上，提出了基于新鲜度函数的多模型组合预测油气产量的方法。
The numerous existing methods for prediction of oil and gas production were reviewed, and a multi-model combined forecast method based on fresh degree function was developed.
针对基于预测有效度的组合预测模型提出了新的优性组合预测、预测方法优超和冗余度的概念；
New concepts are proposed for the combination forecasting effective measure models: superior combination forecasting, dominant forecasting method and redundant measure.
阐述了组合预测方法的基本原理，并从理论上论证了组合预测方法相对于单一预测模型的优越性。
This paper elaborates on the principles of combination prediction, and it demonstrates the superiority of combination prediction to single prediction model.
对基于最小几何距离的加权调和平均组合预测模型的性质进行了研究，从理论上说明了该种方法的有效性。
We study the properties of harmonic means combination forecasting method based on minimizing geometric distance to demonstrate the effectiveness of this method theoretically.
而运用组合模型进行预测不仅预测结果准确性高，而且稳定性好。
The predicted results of combination model are not only accurate but also steady.
实验表明，这种组合预测模型预测效果与稳定性优于传统预测模型。
Experiments result stipulate that the forecasting performance and stability of the hybrid forecasting model is superior to the traditional forecasting model.
第六部分采用一元线性回归、多项式回归、灰色系统G（1，1）模型和组合预测模型对山东省现代物流业未来需求状况进行了中期预测。
The sixth part forecasts the future logistics demand of Shandong Province on the basis of one linear regression, polynomial regression, gray system G(1,1) model and combination forecast model.
与一些常见的组合预测方法比较，该方法显著改善了模型的预测能力。
This method can improve the forecasting ability of model remarkably when comparing to other familiar combination forecasting methods.
对比发现，利用组合灰色神经网络模型预测的位移值较单独的灰色模型预测的位移值具有更高的精度。
It is more accurate of the forecasting results by the composite gray neural network model than that by the only gray models by comparison.
文中分别应用简单平均组合与最优加权组合原理，建立了短期负荷预测的组合模型。
The paper presents a short term load combined forecasting model using the simple average and weighted optimum combination principles.
以实际算例为基础，应用基本灰色预测模型和传统改进模型以及组合灰色预测模型分别对电力负荷进行了预测，并进行了分析比较。
Based on an example, the basic grey model, other improved models and combination grey model are used to forecast power load and results of all models are analyzed and compared.
将各单一预测模型的预测结果加权求和得到了组合预测模型的预测结果，建立了玉米产量组合预测模型。
The forecasting results of all the methods were weighted and summed to gain the combination forecasting result, and the corn yield combination forecasting model was built.
并且对基于神经网络的组合预测方法进行了研究，提出了一个神经网络和指数平滑模型组合运用的预测算法。
After study of the combined forecasting methods based on the ANN theory, it is put foreword that Exponential-Smooth (ES) and ANN combine a new prediction algorithm.
并且对基于神经网络的组合预测方法进行了研究，提出了一个神经网络和指数平滑模型组合运用的预测算法。
After study of the combined forecasting methods based on the ANN theory, it is put foreword that Exponential-Smooth (ES) and ANN combine a new prediction algorithm.
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