The main foundation the paper relied on is optimized combination forecast theory, intelligent optimization computation theory, the time series forecast, and financial risk measurement and management theory.
本文研究所依赖的主要理论基础为最优化组合预测理论,智能优化计算理论,时间序列预测,以及金融风险计量与管理理论。
参考来源 - 发电商市场预测与竞价决策优化新方法研究The primary research content and results are obtained as followes:1. Based on the grey forecast model GM(1,1), the triangle model and the ARMA model, the combination forecast model TGMA(1,1) has been proposed.
本文的主要研究内容和成果如下:1.提出了基于灰色预测GM(1,1)模型、三角模型和时间序列分析ARMA模型的组合预测摸型TGMA(1,1)。
参考来源 - 组合预测模型的构建及其应用·2,447,543篇论文数据，部分数据来源于NoteExpress
Combination forecast is an important field in forecast.
组合预测是预测领域的一个重要研究内容。
The results showed that the accuracy of combination forecast model is higher than that of each individual predictions model.
结果显示，组合预测模型的精度高于各个单项预测模型；
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。
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