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GM(1,1)预测模型的两阶段优化方案及其在交通量预测中的应用
Two-stage Optimization Scheme of Prediction Model and Its Application to Traffic Volume Prediction
【摘要】 GM(1 ,1 )模型是灰色系统理论中的核心,已经得到广泛应用。文章提出了GM(1 ,1 )预测模型的两阶段优化方案,经比较,预测模型结果明显优于常规GM(1 ,1 )模型。将改进的GM(1 ,1 )模型用于交通量预测,预测效果较好。将等维递推处理技术应用于预测模型中,还可进一步提高该模型的预测精度和实用性
【Abstract】 GM(1,1) model is the kernel of grey system theory, and it is applied widely in practice. This paper presents a two-stage optimization scheme of grey model. An improved GM(1,1) model can achieve much better results than the conventional one in forecast. This model works well in traffic volume prediction. Prediction accuracy and practicability can be further improved by the use of equal dimension recurrence in GM (1,1) model.
【关键词】 GM(1,1)模型;
两阶段优化;
等维递推;
预测;
【Key words】 GM(1,1) model; two-stage optimization; equal dimension recurrence; forecast;
【Key words】 GM(1,1) model; two-stage optimization; equal dimension recurrence; forecast;
- 【文献出处】 交通与计算机 ,Computer and Communications , 编辑部邮箱 ,2005年02期
- 【分类号】U491.113
- 【被引频次】4
- 【下载频次】172