摘要
针对城市公路客运量预测中存在的非线性、复杂性和不确定性,提出了一种基于最小二乘支持向量机的城市客运量预测模型。结合西安市历年城市客运量数据,编程实现该预测模型,仿真结果表明了该预测模型的有效性。
With consideration of the non-linearity, complexity, and uncertainty of the prediction problem in urban passenger transport, a prediction model of urban passenger transport based on least square support vector machine（LSSVM） was proposed. Based on the volume of the urban passenger transport in Xi＇an over years, the model was calculated and simulated through programming. The simulation results indicate that this prediction model is effective.
出处
《交通与计算机》
2007年第5期50-53,共4页
Computer and Communications
基金
广东省科技厅工业攻关计划项目资助(批准号:2006-B14901005)
关键词
最小二乘支持向量机
城市客运量预测
核函数
least square support vector machine
urban passenger transport prediction
kernel function
