Hong Kong Ocean Cargo Ship Traffic Flow Prediction Based on the Adaptive Filtering Method
To accurately predict Hongkong ocean cargo ship traffic flow,the adaptive filtering method is used to establish the prediction model for Hongkong ocean cargo ship traffic flow.The statistical data of model establishment is gained from the web of Marine Department,the Government of Hong Kong SAR.Firstly,the adaptive method is directly used to establish the prediction model,and then the adaptive method with data normalization is applied.After comparison of the two models,it is found that the later has smaller mean square error,lower mean relative error,and the two models have close grey absolute relational grade between the prediction time series and sample time series.It means that the later model performs better in the discreteness and accuracy than the former,and the two models have similar geometrical similarity between the curve of the prediction time series and that of the sample time series.So,the adaptive method with data normalization is applied to predict Hong Kong ocean cargo ship traffic flow in future 8 months.
Hong Kongocean cargo shiptraffic flowadaptive filtering method
NETL
NSTL
万方数据
