摘要
文章介绍了GM(1,1)模型几种常见的初值改进方法,并运用于短时交通流的预测中。通过误差分析,我们发现初值优化对提高GM(1,1)模型拟合与预测精度的作用不大,要进一步提高其拟合与精度需要依靠其他的优化手段或提出更好的初值优化方法。
This paper introduces several common initial value improvement methods of GM(1,1) model, and applies them to shortterm traffic flow prediction. Through error analysis, we find that the initial value optimization has little effect on improving the fitting and prediction accuracy of GM(1,1) model. To further improve the fitting and prediction accuracy of GM(1,1) model, we need to rely on other optimization methods or propose a better initial value optimization method.
出处
《科技创新与应用》
2019年第3期11-13,17,共4页
Technology Innovation and Application
基金
江苏省高校自然科学基金面上项目(编号:18KJB580012)
大学生创新训练计划项目(编号:201810304129H)
