High Speed Railway Environment Safety Evaluation Based on Measurement Attribute Recognition Model
Joint Authors
Hu, Qizhou
Gao, Ningbo
Zhang, Bing
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-11-09
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
In order to rationally evaluate the high speed railway operation safety level, the environmental safety evaluation index system of high speed railway should be well established by means of analyzing the impact mechanism of severe weather such as raining, thundering, lightning, earthquake, winding, and snowing.
In addition to that, the attribute recognition will be identified to determine the similarity between samples and their corresponding attribute classes on the multidimensional space, which is on the basis of the Mahalanobis distance measurement function in terms of Mahalanobis distance with the characteristics of noncorrelation and nondimensionless influence.
On top of the assumption, the high speed railway of China environment safety situation will be well elaborated by the suggested methods.
The results from the detailed analysis show that the evaluation is basically matched up with the actual situation and could lay a scientific foundation for the high speed railway operation safety.
American Psychological Association (APA)
Hu, Qizhou& Gao, Ningbo& Zhang, Bing. 2014. High Speed Railway Environment Safety Evaluation Based on Measurement Attribute Recognition Model. Computational Intelligence and Neuroscience،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1034650
Modern Language Association (MLA)
Hu, Qizhou…[et al.]. High Speed Railway Environment Safety Evaluation Based on Measurement Attribute Recognition Model. Computational Intelligence and Neuroscience No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1034650
American Medical Association (AMA)
Hu, Qizhou& Gao, Ningbo& Zhang, Bing. High Speed Railway Environment Safety Evaluation Based on Measurement Attribute Recognition Model. Computational Intelligence and Neuroscience. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1034650
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1034650