A new prediction approach for railway passenger volume is put forward by means of Least Squares Support Vector Machine (LS-SVM).
提出了一种基于最小二乘支持向量机(LS - SVM)的铁路客运量预测的新方法。
Accurate consequence of passenger traffic volume prediction is one of major basises for traffic planning.
准确的客运量预测结果是进行交通规划与管理的主要依据之一。
On this basis, we conduct a scientific prediction for the volume of passenger traffic of each month in 2010.
在此基础上对我国2010年各月份的客运量进行了科学预测。
On this basis, we conduct a scientific prediction for the volume of passenger traffic of each month in 2010.
在此基础上对我国2010年各月份的客运量进行了科学预测。
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