摘要
为了提高预测精度,在灰色预测模型的基础上建立残差灰色预测模型,对物流需求进行预测,并以实际铁路货运量算例为基础,作分析比较。结果表明,该方法具有预测精度高、理论可靠、计算简单等优点,具有良好的实用性。
On the basis of gray model, the residual error gray prediction model is presented in this paper to improve the precision of logistics demand forecast. Comparison analysis is done according to the case study based on railway freight traffic volume. The results show that the residual error gray forecast model is featured with high precision degree, reliable theory basis, simple Calculation process, and thus it is very practicable and applicable.
出处
《铁道运输与经济》
北大核心
2007年第11期59-61,共3页
Railway Transport and Economy
关键词
灰色模型
残差
物流需求预测
Gray Model
Residual Error
Logistics Demand Forecast
