节点文献
基于数据变换的GM(1,1)残差修正模型在交通量预测中的应用
The Application of Residual Error Correction GM(1,1) Model in Prediction of Volume of Traffic Based on of Data Transformation
【摘要】 首先提出了一种变换,该变换既可以提高序列的光滑度,而且逆变换后相对误差保持不变,然后针对模拟残差时正时负的现象,又给出了一种变换,该变换可以将任意摆动序列变换为单调递增序列,最后给出了基于残差修正的GM(1,1)模型.将模型应用于实际,预测效果比较满意.
【Abstract】 The transformation is given out and it not only improves the smooth of alignment but also keeps relative error of inversion of transformation steady.Simulation error is sometimes positive and sometimes negative to give anther transformation,which can change arbitrary awing alignment into monotone in creasing alignment and at last gets GM(1,1) model based on residual error correction.The model has been applied to practice and the result of prediction is more satisfactory.
【关键词】 数据变换;
GM(1,1)模型;
交通量;
预测;
【Key words】 data transformation; GM(1,1)model; volume of traffic; prediction;
【Key words】 data transformation; GM(1,1)model; volume of traffic; prediction;
- 【文献出处】 数学的实践与认识 ,Mathematics in Practice and Theory , 编辑部邮箱 ,2013年09期
- 【分类号】N941.5;O242.1
- 【被引频次】2
- 【下载频次】172