基于数据挖掘算法的汽车销售预测模型的应用研究

Research of Automotive Sales Forecasting Model Based on Data Mining Algorithm

针对中国汽车工业协会的汽车历史销量数据,利用时间序列法和RBF神经网络法进行汽车销售量预测,利用SPSS18.0统计软件建立了RBF神经网络模型,最终对几种预测方法进行了对比研究。结果证明:RBF神经网络具有更精确的预测值。

Based on historical sales data from China Association of Automobile Manufacturers, the automotive sales were predicted using the time series method and RBF neural network method. RBF neural network model was realized by statistical software SPSS18.0 Several forecasting methods were compared, and the results show RBF neural network has better forecasting value.