基于BP神经网络的民用汽车运力灰色回归组合预测研究

Research on Combined Forecasting of Civil Motors Based on BP Neural Network

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。此模型综合了各单一模型的有效信息,能够比较客观地反映地区民用汽车运力的发展趋势,为相关部门提供决策依据。

Based upon the theory of combined forecasting, upstanding identity of BP neural network on approaching non-linear data, put forward a combined forecasting model for civil motors. This model integrates the available information of each single model, can reflect the evolution trend of regional civil motors more objectively and therefore provides basis of decision-making for related departments.