MATEC Web Conf.
Volume 173, 20182018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018)
|Number of page(s)||3|
|Section||Automation and Nontraditional Manufacturing|
|Published online||19 June 2018|
The Safety Assessment of the Operation of Urban Rail Transit Based on Generalized Regression Neural Network
Ningbo University of Technology, No. 201 Fenghua Rd, Ningbo, 315211 China
2 Ningbo Rail Transit Group Co., Ltd., No 3399 Ningchuan Rd, Ningbo, 315101 China
* Corresponding author: firstname.lastname@example.org
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.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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