To calculate the weight coefficients of the combination model firstly the Lagrangian multiplier method is applied to object function and equality constrains.
在组合模型的权重系数求解中，首先对目标函数和等式约束使用拉格朗日乘子法来求解权重系数。
In this paper, a new algorithm for the estimation of optimum weight coefficients of changeable weight combination forecast model is proposed.
给出了一种变权重组合预测模型权系数估计的新算法。
In order to improve the accuracy of the credit judgment, we use the linear combination assess model with no negative weight to get the weight of each model.
为了增加企业信用判别的精度，本文运用非负权重的线形组合预测方法对各个模型进行组合，最终得到各个模型的组合权重。
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。
The entropy method is adopted to obtain the weight coefficient of the combination model, and analysis of the example result shows that this new model significantly improves the forecasting precision.
并采用熵值法对组合模型的权系数进行求解，实证分析表明该模型使预测精度得到了明显提高，具有良好的预测效果。
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.
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.
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。
应用推荐