基于RBF神经网络模型对公交移动支付普及的预测分析

Prediction and Analysis of Popularity of Bus Mobile Payment Based on RBF Neural Network Model

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.