Establishing combined forecasting model using artificial neural network on the basis of MATLAB toolbox.
对电量和负荷的预测都提供了回归模型、趋势外推模型、灰色模型和组合模型等。
The result shows that combined forecasting model based on GMDH extracted the characteristics of data abundantly and displayed its unique superiority.
实证结果表明,基于GMDH的组合预测模型充分的挖掘了数据中的特点,显示了其独特的优越性。
Traditional combined forecasting model exists deficiency in weighted averaging.
传统的组合预测模型存在加权平均的缺陷。
Based upon the theory of combined forecasting, up-standing identity of BP neural network on approaching non-linear data, put forward a combined forecasting model for civil motors.
文章根据组合预测的理论和BP神经网络对非线性数据良好的逼近特性,提出了基于BP神经网络的灰色预测、多项式回归模型的民用汽车运力组合预测模型。