文章基本信息

标题：The Safety Assessment of the Operation of Urban Rail Transit Based on Generalized Regression Neural Network
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作者：Kai Guo ; Jingsheng Gao ; Junneng Ye 等
期刊名称：MATEC Web of Conferences
电子版ISSN：2261-236X
出版年度：2018
卷号：173
DOI：10.1051/matecconf/201817302021
语种：English
出版社：EDP Sciences
摘要：This paper presented a methodology to assess the operation safety of the urban rail transit system by using the generalized regression neural network. By comparing the evaluated values with the graded scores of the experts, the results indicated that predictions by using the generalized regression neural network only have 5.38% averaged relative error compared with experts’ scores. Therefore, the GRNN was capable of evaluating and predicting the operation safety of the urban rail transit system.