研究非负权系数约束下的最优组合预测问题。
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。
The purpose of this paper is to decide nonnegative weight coefficient of combination forecasting with multiplier method.
最优组合预测是提高电力负荷预测精度的有效方法。
The optimal combined forecasting method is an effective method in improving the precision of the power load forecast.
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.
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.
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.
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.
本文在优性组合预测方法存在判定理论的基础上，提出了求解非负权重最优组合预测问题的迭代算法。
Based on the concept of superior combination forecasting method and on the concept of redundant method, several problems about combined prediction of non-negative weight are studied in this peper.
结果表明：基于神经网络组合预测模型不仅比单一预测方法能够从整体上提高预测精度，而且能避免最优组合预测模型有时出现负权重的不足。
The result shows that this combined model can improve the precision of forecasting and avoid the shortage of negative weight in the process of optimal mix forecasting 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.
选出了最优组合。（4）采用BP神经网络对混凝土强度进行强度预测。
Selected the optimal combination. (4) BP neural network used to predict the strength of concrete strength.
文章考虑投资者自身预测力存在估计误差的感知风险（参数不确定性）对投资者最优资产组合选择问题的影响。
The paper analyses the parameter uncertaintys effect on the investors optimal portfolio choice, it suggests if the investor ignores the estimation risk, he may by lead to take p.
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.
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.
对中长期负荷组合预测进行了研究，提出了基于预测有效度最优的原则来求取组合预测加权系数的方案。
The changeable weight combined method is presented based on the principles of forecast effectiveness optimization through study of mid-long load combined forecast.
采用线性规划方法确定最优组合的权系数，并对预测出的结果进行了分析和讨论。
The optimum-weight coefficients were obtained by the linear programming model, finally, the results were discussed.
本文提出了由几个不同的预测模型通过加权几何平均的方式进行组合从而得到加权几何平均组合预测模型，给出了确定最优权系数的方法。
Weight geometric average combination forecast model obtained by weighing several different forecast models, is presented in this paper. A method is given to determine the best weight.
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。
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.
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 load forecasting researches and applications by using the combined forecasting theory are more and more.
为了解决各种单一传统的预测方法中存在的问题，提出了一种BP神经网络最优组合的预测方法。
Aiming at solving the problems in each traditional forecasting method, a optimal mix forecasting method based on BP neural network was put forwards.
为了解决各种单一传统的预测方法中存在的问题，提出了一种BP神经网络最优组合的预测方法。
Aiming at solving the problems in each traditional forecasting method, a optimal mix forecasting method based on BP neural network was put forwards.
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