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基于盲数回归法的港口吞吐量预测
引用本文:王春燕.基于盲数回归法的港口吞吐量预测[J].交通标准化,2006(9):167-169.
作者姓名:王春燕
作者单位:河海大学交通学院,江苏,南京,210098
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。

关 键 词:港口吞吐量  盲数  不确定性信息  线性回归
文章编号:1002-4786(2006)09-0167-02
收稿时间:2006-01-20
修稿时间:2006年1月20日

Port Handling Capacity Forecasting Based on Unascertained Number Regressive Model
WANG Chun-yan.Port Handling Capacity Forecasting Based on Unascertained Number Regressive Model[J].Communications Standardization,2006(9):167-169.
Authors:WANG Chun-yan
Institution:School of Traffic, Hohai University, Nanjing 210098, China
Abstract: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.
Keywords:port handling capacity  unascertained number  unascertained information  liner regression analysis
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