Port Throughput Forecasting Based on Broad Learning System with Considering Influencing Factors
作者单位：Navigation CollegeDalian Maritime University
会议名称：《第32届中国控制与决策会议》
会议日期：2020年
学科分类：081505[工学-港口、海岸及近海工程] 08[工学] 0815[工学-水利工程] 0824[工学-船舶与海洋工程] 0814[工学-土木工程] 082401[工学-船舶与海洋结构物设计制造]
关 键 词：Forecasting Linear Regression Model Port throughput Broad Learning System
摘 要：With the development of the shipping industry,port throughput has increased significantly in recent *** ports have become increasingly *** fluctuation of container throughput in ports is affected by many *** effective and accurate forecasting of port throughput provides a scientific reference for the development of the *** on the port throughput data of Lianyun Port in China from the first quarter of 2005 to the fourth quarter of 2016,this paper uses univariate linear regression,multiple linear regression,and broad learning system to forecast the container throughput of the port in each quarter of 2017 and *** the forecasting results with the actual *** experimental results show that the broad learning system can consider two economic influncing factors about the throughput at the same time and forecast port throughput accurately and ***,broad learning system is more suitable for the forecasting of port throughput than other methods.