首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于人工神经网络的铁路客票系统中转路径选取研究
引用本文:于澎,朱建生.基于人工神经网络的铁路客票系统中转路径选取研究[J].铁道运输与经济,2010,32(3).
作者姓名:于澎  朱建生
作者单位:中国铁道科学研究院,电子计算技术研究所,北京,100081
摘    要:将人工神经网络引入铁路客票发售和预订系统进行中转路径的优选,可以避免人工选择的盲目性,同时也为售票提供方便。通过提出一种中转路径的人工神经网络模型,运用人工神经网络中的误差反向传播算法,利用换乘样本自学习网络结构、各神经元之间的权重和阈值,根据应用实例进行旅客中转换乘最优方案的合理性判断。

关 键 词:铁路  客票系统  人工神经网络  中转路径

Research on the Selection of Transfer Route Model in Railway Ticketing System base on Artif icial Neural Network
YU Peng,ZHU Jian-sheng.Research on the Selection of Transfer Route Model in Railway Ticketing System base on Artif icial Neural Network[J].Rail Way Transport and Economy,2010,32(3).
Authors:YU Peng  ZHU Jian-sheng
Institution:YU Peng,ZHU Jian-sheng(Institute of Computing Technologies,China Academy of Railway Sciences,Beijing 100081,China)
Abstract:This paper introduces the artificial neural network into Railway Ticketing and Reservation System(TRS) to optimize the selection of transfer routes,and this could avoid blindness of artificial selection and provide convenient ticket selling.Firstly,the paper puts forward an artificial neutral network model of transfer route,then by using the BP algorithm of artificial neural network,and the self-learning network structure of transfer samples,weights and thresholds among neurons,the reasonableness of the opt...
Keywords:Railways  Ticketing System  Artifi cial Neural Network  Transfer Route  
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号