Research on Urban Public Traffic Satisfaction Evaluation Model Based on BP Neural Network Algorithm

被引：0
|
作者：
Yang, Shaomei [1 ]
Jia, Lin [2 ]
机构：
[1] North China Elect Power Univ, Econ & Management Dept, Baciding City, Peoples R China
[2] Agr Univ Hebei, Coll Business, Baciding City, Peoples R China
来源：
WKDD: 2009 SECOND INTERNATIONAL WORKSHOP ON KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS | 2009年
关键词：
urban public traffic; satisfaction evaluation; index system; BP neural network;
D O I：
10.1109/WKDD.2009.61
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Urban public traffic is an important basic Infrastructure related to the nation's economy and the people's livelihood, which is social cause of public good closely linked people's production and life. In order to evaluate the urban public traffic satisfaction scientifically, based on the analysis of the urban public traffic present and problems, this paper establishes a satisfaction evaluation index system and describes the evaluation mechanism based on BP neural network. The satisfaction evaluation of 12 cities in Hebei shows that the results given by this model are reliable, and this method to evaluate urban public traffic satisfaction is feasible.
引用
收藏
页码：40 / +
页数：2
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