| Issue |
MATEC Web Conf.
Volume 173, 2018
2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018)
|
|
|---|---|---|
| Article Number | 02021 | |
| Number of page(s) | 3 | |
| Section | Automation and Nontraditional Manufacturing | |
| DOI | https://doi.org/10.1051/matecconf/201817302021 | |
| Published online | 19 June 2018 | |
The Safety Assessment of the Operation of Urban Rail Transit Based on Generalized Regression Neural Network
1
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: gwei@live.com
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.