Weighted geometric means combination forecasting is a kind of nonlinear combination forecasting method.
加权几何平均组合预测为一种非线性的组合预测方法。
The key problem to be solved is how to obtain weighted averaging coefficients of combination forecasting.
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。
This paper aims at discussing the value range of combination forecasting error square sum with matrix theory.
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。
The result shows that the effect of combination forecasting model is superior to that of single prediction model.
结果表明，该法预测模型效果优于单一预测模型。
The purpose of this paper is to decide nonnegative weight coefficient of combination forecasting with multiplier method.
研究非负权系数约束下的最优组合预测问题。
Combination forecasting model will be applied to forecast the grain production of China, in order to make the result more exact.
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。
In this paper, by using the gray system theory and the dynamic BP neural network, the combination forecasting model are discussed.
对时间序列的一类预测模型进行了研究，把灰色模型与BP神经网络模型组合建模，通过实例分析取得好的效果。
Finally, the combination forecasting based on meta-learning is introduced which ensure that the weight coefficient between 0 and 1.
最后，引入了基于元学习理论的组合预测，确保权重系数在0到1之间。
In this paper, we discuss the problem of optimal combination forecasting subject to nonnegative investment proportional coefficient.
研究非负权系数约束下的最优组合预测问题。
This method can improve the forecasting ability of model remarkably when comparing to other familiar combination forecasting methods.
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。
The background of combination forecasting is illustrated, and meanwhile the necessity of interval combination forecasting is analyzed.
说明组合预测方法产生的背景，同时分析了进行区间组合预测的必要性。
This paper presents a fuzzy adaptive variable weighting algorithm for combination forecasting by imitating mens decision making process.
模仿人的决策过程，提出了一种模糊自适应变权重组合预测算法。
Application examples show that it is feasible to apply the improved PSO to the weight solution of power load combination forecasting 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。
In this paper, the basic structural characteristics of combination forecasting model is studied under the criterion of vectorial Angle cosine.
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。
At last the method of combination forecasting based on function of fresh degree is applied and the precision of prediction is further improved.
最后利用基于新鲜度函数的变权重组合预测方法对预测结果进行组合预测，进一步提高了预测精度。
These combination forecasting models are characterized with simple algorithm and comparison of forecasting effectiveness to different time series.
该模型具有计算简便的特点，而且具有可比性，能反映不同时间序列预测方法有效性。
Weighted harmonic means combination forecasting based on degree of reciprocal grey incidence is a new kind of nonlinear combination forecasting method.
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.
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。
The result shows that the combination forecasting model is of higher precision and more reliability comparing with the grey forecasting and non-linear models.
结果表明，与单项预测模型相比，组合模型的预测精度高，预测结果更加可靠。
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.
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。
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；
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.
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。
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.
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。
The features and information of several common methods were made full use of and the optimal combination forecasting model was put forward based on the information entropy.
在建立预测方法评价指标集的基础上，利用信息熵确定了各种方法在组合预测模型中的权重。
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.
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。
New dominant forecasting method and redundant measure are defined for combination forecasting method with generalized weight arithmetic average, based on error of power of p.
从P次幂误差的概念出发，提出了广义加权算术平均组合预测法新的预测方法优超和冗余度的定义。
We study the properties of harmonic means combination forecasting method based on minimizing geometric distance to demonstrate the effectiveness of this method theoretically.
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。
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.
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 key point of combination forecasting is how to obtain the weights of each single predictive method reasonably, so that the predictive accuracy could be improved effectively.
组合预测模型中最重要的问题就是如何获得较为合理的各个单项预测方法的权重，使得组合预测模型更加有效的提高预测水平。
On the basis of the establishing evaluation index of the forecasting method, the information entropy was used to determine the weights in the optimal combination forecasting model.
该方法能处理预测中的不确定性因素，同时综合考虑了各种方法的特点以及预测过程中预测人员主观因素的影响，较为符合舰船装备建造费预测的实际情况。
应用推荐