支持向量机在集装箱吞吐量预测上的应用

针对目前常用港口集装箱吞吐量预测方法的局限性,将支持向量机(SupportVectorMachines,SVM)回归方法用于港口吞吐量预测。提出了集装箱吞吐量预测的步骤和相关参数的确定方法。在此基础上,以上海港集装箱吞吐量的预测为例,详细介绍该方法的应用过程。结果表明,本算法合理有效,为解决集装箱吞吐量等非线性系统预测提供了一条新的途径。

Application of Support Vector Machines for Container Throughput Forecast

To counter the limitation of container throughput forecasting method adopted commonly at present, support vector machines(SVM)regression method is used for forecasting port throughput. This paper provides the steps of throughput forecast and determination method of relevant parameters, based on which, the application process of the method is presented in detail combining container throughput forecast of Shanghai Port as an example. The result shows that this method is reasonable and effective, and it offers a new solution for nonlinear system forecast such as container throughput, etc.