›› 2005, Vol. 26 ›› Issue (4): 642-644.

• Fundamental Theroy and Experimental Research • Previous Articles     Next Articles

Classification of rockburst using support vector machine

ZHAO Hong-bo   

  1. Shaoxing University, Department of Civil Engineering, Shaoxing 312000, China
  • Received:2003-12-12 Online:2005-04-09 Published:2013-12-19

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Abstract: Rockburst is a disaster occurred usually in deep mines. Because of poor understanding of the mechanism, it is very difficult to give accurate classification using deterministic mechanical methods. A new method, therefore, was proposed. It was to use support vector machine to represent nonlinear relationship between rockburst and its factors. This model was learned from case histories and then could be used fast classification of rockburst for similar conditions. The support vector machine models have been established .The models gave accurate classification for the novel conditions. The results show this method is scientific, reliable, and promising.

Key words: rockburst, classification, support vector machine

CLC Number: 

  • TU45
  • Please send e-mail to pingzhou3@126.com if you would like to read full paper in English for free. Parts of our published papers have English translations.
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