传统的组合预测模型存在加权平均的缺陷。
Traditional combined forecasting model exists deficiency in weighted averaging.
该文将组合预测模型应用到决策支持系统中。
In this paper, combination forecasting model will be applied to decision support systems.
表明该组合预测模型是一种非常有效的预测新方法。
So this new Combined Prediction Approach of Multivariate Auto-regressive and Exponential Smoothing is effective.
给出了一种变权重组合预测模型权系数估计的新算法。
In this paper, a new algorithm for the estimation of optimum weight coefficients of changeable weight combination forecast model is proposed.
从而表明该组合预测模型是一种非常有效的预测新方法。
So this new developed Combined Prediction Approach of the Fuzzy Auto-regressive and Exponential Smoothing is effective.
结果显示，组合预测模型的精度高于各个单项预测模型；
The results showed that the accuracy of combination forecast model is higher than that of each individual predictions model.
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.
比较各方法预测精度，赋予不同权重，建立组合预测模型。
The model had higher prediction precision compared with traditional regression model.
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.
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.
本文基于多个单项预测模型，提出了针对百丽鞋业的需求组合预测模型。
This paper is based on lots of single forecast models, and brings forward compounding forecast model of demand just for belle shoes industry.
同时，还给出了百分误差绝对值最小为目标的组合预测模型及权系数求解方法。
At the same time, methods for solving CFM is given with the aim of minimizing sum of percentage error absolutes.
本文通过引进最大—最小贴近度，建立了一种新的相关性指标的最优组合预测模型。
In this paper, through the introduction of the biggest-smallest approach degree, we establish a new indicator of the relevance of the optimal combination forecasting model.
对供应链管理中物流系统的货运量问题进行研究，给出了新的货运量组合预测模型。
The question of volume of freight in the logistics system on the supply chain management is discussed. And a new combination forecasting model of volume of freight is made out.
基于倒数灰色关联度的加权调和平均组合预测模型是一种新的非线性组合预测模型。
Weighted harmonic means combination forecasting based on degree of reciprocal grey incidence is a new kind of nonlinear combination forecasting method.
对供应链管理中物流系统的货运量问题进行研究，给出了新的货运量组合预测模型。
The question of volume of freight in the logistics system on the supply chain management is discussed.
基于倒数灰色关联度的加权调和平均组合预测模型是一种新的非线性组合预测模型。
Weighted geometric means combination forecasting based on degree of logarithm grey incidence is a new kind of nonlinear combination forecasting method.
给出了粮食产量预测的常用模型，通过加权组合，进而确定组合预测模型以提高预测精度。
Given the commonly used food production forecast model, with the aid of a weighted combination of prediction model to determine the combination, the prediction accuracy will be improved.
采用最优加权法配合参数优化建立组合预测模型，对某电站厂房机组平台作垂直位移分析。
In the paper, a combined prediction model is set up by use of the parametric optimization method with optimum weight. The model is used to study the vertical displacement of a power plant.
运用广义加权平均组合预测模型进行市场需求预测，以克服传统的单一市场预测方法的不足。
The combination forecasting model of generalized weighted proportional means which to overcome the inadequacy of traditional single market forecasting method, was used to forecast market demands.
再将最佳回归模型与最佳灰色模型有机地结合起来建立中国火灾最佳灰色回归组合预测模型。
Finally an optimal combinatorial forecasting model for fire in China has been established through combining the Grey and regression models.
本文介绍了一种建立最优组合预测模型的方法，并将其用于潍坊寒亭62井的水位动态预测。
This paper presents a method of establishing the optimum combination forecasting model and applies it to the water-level regime forecasting of well No. 62 at Weifang Hanting.
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.
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.
给出一种新的组合预测模型——广义加权函数平均组合预测模型及其加权系数的参数估计方法。
In this paper, we present a new kind of combining forecasting model based on the generalized weighted functional mean and the parameter estimation methods of its weighting coefficients.
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.
通过应用实例证明，将改进的粒子群优化算法应用到电力负荷组合预测模型的权重求解是可行的。
Application examples show that it is feasible to apply the improved PSO to the weight solution of power load combination forecasting model.
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.
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.
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