基于灰色BP网络的GDP总量组合预测模型应用研究

A Combined Prediction Model Based on Grey Artificial Neural Network and Its Application

将GM(1,1)模型与BP算法相结合建立灰色人工神经网络组合模型应用于GDP总量的预测。以安徽省1992-2007年的数据为例,对2005-2007年的GDP总量进行检验性预测,结果表明灰色人工神经网络组合模型大大提高了预测精度。

To forecast GDP gross, a combined prediction model is built on the basis of BP neural network and grey system theory. Then based on the GDP gross of Anhui （from 1992 to 2007）, the GDP gross of Anhui （from 2005 to 2007） is forecasted by grey neural network combined model. The results show that the prediction accuracy is improved.