四川理工学院学报：自然科学版2012，Vol.25Issue(2)：97-100,4.
系统灰预测在货运周转量中的应用
Freight Turnover Prediction Based on Systematic Grey Prediction
郑毅 1吕晓庆 1郭怡萍1
作者信息
- 1. 成都理工大学管理科学学院,成都610059
- 折叠
摘要
Abstract
Based on the discussion of Chongqing water transportation development,a systematic gray prediction model called nested model about GM（1,N） and GM（1,1） on water transport freight volume is presented.Through the prediction and comparison of the actual data,the forecasting precision of the nested model is found to be better than the general GM（1,1） model＇s.Finally,the 2010-2012 Chongqing water turnovers are predicted by using the nested model.关键词
重庆水运/货运周转量/系统灰预测/GM（1,N）Key words
Chongqing water transport/freight turnover/systematic grey prediction/GM(1/N)分类
通用工业技术引用本文复制引用
郑毅,吕晓庆,郭怡萍..系统灰预测在货运周转量中的应用[J].四川理工学院学报：自然科学版,2012,25(2):97-100,4.
