组合预测的关键是确定各单一预测方法的权重。
The key of combination forecasting is to determine every weights of forecasting method.
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.
加权几何平均组合预测为一种非线性的组合预测方法。
Weighted geometric means combination forecasting is a kind of nonlinear combination forecasting method.
通过实例分析研究，组合预测能获得更好的预测效果。
According to an example, combination forecasting can get good results.
应用最优组合预测方法的关键在于怎样确定组合权系数。
The crux of applying the optimal combined forecasting method is to determine the combined weight coefficients.
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.
其研究的核心的问题就是如何求出组合预测加权平均系数。
The key problem to be solved is how to obtain weighted averaging coefficients of combination forecasting.
但是并联组合预测效果不够理想，有待改进以提高预测效果。
But the parallel combination does not perform well enough, and something should be done to improve prediction performance.
应用矩阵理论，对组合预测误差平方和的取值范围进行了研究。
This paper aims at discussing the value range of combination forecasting error square sum with matrix theory.
文章提出了一种新的组合预测方法—全局时变权组合预测方法。
This paper puts forward a new combination prediction method, global time-varying weight combinational prediction method.
近年来的研究表明，组合预测方法比单项预测具有更高的预测精度。
Recent study results show that combined forecast model approach enjoys more precise forecast than monomial forecast approach.
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.
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.
尝试将组合预测法应用于我国未来粮食产量的预测，以提高预测精度。
Combination forecasting model will be applied to forecast the grain production of China, in order to make the result more exact.
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.
然后分别对各信号进行一步预测并组合预测结果，获得原始负载的最终预测。
After one-step-ahead prediction, the predicted results of these signals are combined into the final predicted result of the original load series.
采用组合预测法能够避免单一预测方法自身的缺陷，使得预测结果更加合理。
The combined forecast method can avoid the defect of unique forecast method itself, thus making the forecast result even more rational.
针对当前道路交通流量预测的多种不同特性的方法，提出了一种组合预测方法。
In response to various characteristics of the present road traffic flow prediction, a combined prediction is presented in this article.
以组合预测值对观测值的拟合度最高为目标，建立模糊规划模型，求解权重系数。
Aimed at maximizing the imitation degree, a model of fuzzy programming is set up to calculate the combination-weighted coefficient.
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.
并针对目前的安全预测方法，提出了组合预测法，以提高安全预测的精度和准确性。
In view of current safety prediction method, the method of combined prediction is suggested so as to improve the accuracy and integrity of the prediction.
通过引入可信赖域，改进预测精度矩阵，来推导单个预测和组合预测的阶预测有效度。
The method deduces the forecast effectiveness of single and combined forecast by introducing confidence field and improving forecast precision matrix.
本文给出了计算最优加权系数的计算公式，并导出了简单平均预测是最优组合预测的条件。
In this paper, we discuss how to compute the weights of optimal combination forecasting and give the condition on which average combination forecasting is optimal.
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.
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.
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.
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