High Speed Railway Environment Safety Evaluation Based on Measurement Attribute Recognition Model

المؤلفون المشاركون

Hu, Qizhou
Gao, Ningbo
Zhang, Bing

المصدر

Computational Intelligence and Neuroscience

العدد

المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-10، 10ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2014-11-09

دولة النشر

مصر

عدد الصفحات

10

التخصصات الرئيسية

الأحياء

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1034650