Classification of rockburst using support vector machine

Yantu Lixue/Rock and Soil Mechanics

Volumn 26, Issue 4, 2005, Pages 642-644

  Zhao, Hong Bo ^a  

^a SHAOXING UNIVERSITY   (China)

Author keywords

Classification; Rockburst; Support vector machine

Indexed keywords

CLASSIFICATION; ROCKBURST; SUPPORT VECTOR MACHINE;

GEOLOGY; GEOTECHNICAL ENGINEERING; MINES; ROCK MECHANICS;

ROCK BURSTS;

EID: 18344390463     PISSN: 10007598     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (10)

1. FENG Xia-ting. Introduction to Intelligent Rock Mechanics[M]. Beijing: Science Press, 2000.
2. WANG Yuan-ban, LI Qi-guang. Method of fuzzy comprehensive evaluations for rockburst prediction[J]. Chinese Journal of Rock Mechanics and Engineering, 1998, 17(5): 493-501.
3. DING Xiang-dong, WU Ji-ming, LI Jian, et al. Artifical neural network for forecasting and classification of rockbursts[J]. Journal of Hohai University (Natural Science), 2003, 31(4): 424-427.
4. ZHAO Hong-bo, FENG Xia-ting. Classification of engineering rock based On support vector machine[J]. Rock and Soil Mechanics, 2002, 23(6): 698-701.
5. XU Lin-sheng, WANG Lan-sheng, LI Yong-lin. Study on mechanism and judgement of rockbursts[J]. Rock and Soil Mechanics, 2002, 23(6): 300-303.
6. WANG Min-qiang, HOU Fa-liang. A method to deter-mine rockburst with plate-form damage[J]. Rock and Soil Mechanics, 1993, 14(3): 53-60.
7. LI Guang-ping. The damage-fracture model for rock-burst[J]. Rock and Soil Machanics, 1997, 18(Supp.): 105-109.
8. FENG Xia-ting, ZHAO Hong-bo. Prediction of rockburst using support vector machine[J]. Journal of Northeast University (Natural Science), 2002, 23(1): 57-59.
9. Burge C J C. A tutorial on support vector machines for pattern recognition [J]. Data Mining and Knowledge Discovery, 1998. (2): 121-167.
10. John C Platt. Sequential minimal optimization: a fast algorithm for training support vector machines[R]. Technical Report MSR-TR-98-14. Redmond. Wash: Microsoft Research, 1998.