Open AccessApplication of Artificial Neural Network in Course Design of Safety System-Taking a rail transit operation safety evaluation as an example
Author(s) -
Jianhua Chen,
Haoming Xu,
Wei Gao,
Jingsheng Gao
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1885/5/052065
Subject(s) - artificial neural network , rail transit , urban rail transit , transit (satellite) , transport engineering , regression analysis , engineering , course (navigation) , computer science , light rail transit , safety engineering , transit system , reliability engineering , artificial intelligence , public transport , machine learning , aerospace engineering
In the course design of safety engineering, artificial neural network was adopted to assess the operation safety of the urban rail transit system by using the generalized regression neural network. By comparing the evaluation values with the scores graded by the experts, the results indicated that predictions by using the generalized regression neural network had the better performance. Therefore, the GRNN was capable of evaluating and predicting the operation safety of the urban rail transit system.