摘要
针对公交移动支付问题,对搜集的数据首先进行SOM聚类和EXCEL软件进行筛选,进而分析公交车乘车人出行支付特征。其次通过对Hotelling模型进行拓展,对公交集团的收支和盈利情况进行分析。最后,使用灰色预测模型与RBF神经网络模型进行相比较,决定运用RBF神经网络模型以及牛顿插值原理,给出蚌埠市公交移动支付模式推广的以及普及的可能性预测。同时对该模式的普及与推广进行进一步分析,对有关部门具有借鉴意义。
For the issue of bus mobile payment,the data collected in this paper are firstly screened by SOM clustering and EXCEL software,and then the characteristics of bus passengers’travel payment are analyzed.Secondly,the Hotelling model was expanded to analyze the income and expenditure and profit of the bus group.Finally,by comparing the grey prediction model with the RBF neural network model,the RBF neural network model and Newton interpolation principle are used to give the possibility prediction of the promotion and popularization of Bengbu bus mobile payment model.At the same time,the popularization of the model are further analyzed,which can be used for reference by relevant departments.
作者
耿国强
张韵
武天琦
赵业馨
朱家明
GENG Guo-qiang;ZHANG Yun;WU Tian-qi;ZHAO Ye-xin;ZHU Jia-ming(School of Finance,Anhui University of Finance and Economics,Bengbu 233030,China;School of Economics,Anhui University of Finance and Economics,Bengbu 233030,China;School of statistics and Applied Mathematics,Anhui University of Finance and Economics,Bengbu 233030,China)
出处
《辽宁工业大学学报(自然科学版)》
2019年第4期231-234,239,共5页
Journal of Liaoning University of Technology(Natural Science Edition)
基金
国家自然科学基金项目(11601001)
国家级大学生创新创业训练计划项目(201810378436)