Simulation results show that the variable weighting combination forecasting models are effective. In order to improve the feasible of forecasting by neural network, a new method is presented in the paper.
本文提出了一种提高神经网络预测可靠性的新方法，将目前常用的三种神经网络的预测结果进行变权组合，可以避免单个神经网络出现“过拟合”现象等问题时预测精度大幅度降低的风险，提高了预测的可靠性。
参考来源 - 变权系数组合预测模型在电力系统负荷预测中的应用研究·2,447,543篇论文数据，部分数据来源于NoteExpress
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.
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.
通过单项运动成绩的预测实例，显示了基于灰关联变权的组合预测方法是一种比单一预测方法更能收到较好预测效果的佳法。
The real example of the sports result forecasting shows based on grey correlation variable weight combined forecasting has high fitting accuracy than …
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