摘要
To implement the prediction of the logistics demand capacity of a certain region,a comprehensive index system is constructed,which is composed of freight volume and other eight relevant economic indices,such as gross domestic product(GDP),consumer price index(CPI),total import and export volume,port's cargo throughput,total retail sales of consumer goods,total fixed asset investment,highway mileage,and resident population,to form the foundation for the model calculation.Based on the least square method(LSM)to fit the parameters,the study obtains an accurate mathematical model and predicts the changes of each index in the next five years.Using artificial intelligence software,the research establishes the logistics demand model of multi-layer perceptron(MLP)neural network,makes an empirical analysis on the logistics demand of Quanzhou City,and predicts its logistics demand in the next five years,which provides some references for formulating logistics planning and development strategy.
作者
WEI Leqin
ZHANG Anguo
魏乐琴;张安国(School of Humanities and Teachers' Education, Wuyi University,Wuyishan 354300, China;College of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, China)
基金
Educational Research Project of Social Science for Young and Middle Aged Teachers in Fujian Province,China(No.JAS19371)
Social Science Research Project of Education Department of Fujian Province,China(No.JAS160571)
Key Project of Education and Teaching Reform of Undergraduate Universities in Fujian Province,China(No.FBJG20190130)。
