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Forecasting primary delay recovery of high-speed railway using multiple linear regression, supporting vector machine, artificial neural network, and random forest regression1.

Authors :
Jiang, Chaozhe
Huang, Ping
Lessan, Javad
Fu, Liping
Wen, Chao
Source :
Canadian Journal of Civil Engineering; 2019, Vol. 46 Issue 5, p353-363, 11p
Publication Year :
2019

Abstract

<i>Copyright of Canadian Journal of Civil Engineering is the property of Canadian Science Publishing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)

Details

Language :
English
ISSN :
03151468
Volume :
46
Issue :
5
Database :
Complementary Index
Journal :
Canadian Journal of Civil Engineering
Publication Type :
Academic Journal
Accession number :
136225356
Full Text :
https://doi.org/10.1139/cjce-2017-0642