Forecasting the state of technogenic emergency situation on the railway transport using data mining technologies

Author
Savchuk, Т. О.
Kozachuk, A.
Gromaszek, K.
Sugurova, L.
Савчук, Т. О.
Козачук, А. В.
Date
2014
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Abstract
The paper presents the results of research railway transport emergency prevention. Authors used mathematical model for the prediction of the state of the train tank cargo with superheated liquid and considered some data mining techniques
URI:
http://ir.lib.vntu.edu.ua//handle/123456789/17943
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