摘要
针对港口吞吐量预测中由于大量不确定性信息所导致预测结果中存在显著误差,可引入新的回归预测方法——盲数理论来对不确定性信息进行处理,实例表明该方法可使预测结果比较合理、可靠,避免传统预测方法中不确定性信息所导致的较大误差。
In order to deal with unascertained information, an innovative method called unascertained number regressive is introduced to the forecasting of port handling capacity to prevent appearing distinct errors derived from lots of unascertained information. As the calculation results shown by examples that it is more reasonable and credible and distinct errors can also be avoided caused by using the traditional forecasting methods with the application of unascertained number regressive method.
出处
《交通标准化》
2006年第9期167-169,共3页
Communications Standardization
关键词
港口吞吐量
盲数
不确定性信息
线性回归
port handling capacity
unascertained number
unascertained information
liner regression analysis
