摘要
针对城市交通流短时流量预测在智能交通系统中的重要性,在以往研究基础上采用Morlet函数作为小波核函数,进一步提高了模型的预测精度及泛化能力.将其与其他几种常用核函数模型进行比较,其效果明显优于其他核函数模型,能够满足智能交通控制和诱导的要求.
For short term urban traffic flow projections, the importance of the intelligent transportation system, on the basis of previous studies using Morlet function as kernel function, and further improving the prediction accuracy and generalization ability, with several other commonly used kernel function model, the effect is significantly better than other nuclear function model, and be able to meet the requirements of intelligent traffic control and induction.
出处
《商丘职业技术学院学报》
2013年第2期57-59,67,共4页
JOURNAL OF SHANGQIU POLYTECHNIC
关键词
最小二乘支持向量机
城市交通流预测
小波核函数
least squares support vector machirte
urban traffic flow forecasting
wavelet kernel function