Prediction of rockburst using support vector machine

Dongbei Daxue Xuebao/Journal of Northeastern University

Volumn 23, Issue 1, 2002, Pages 57-59

  Feng, Xia Ting ^a   Zhao, Hong Bo ^a  

^a NORTHEASTERN UNIVERSITY   (China)

Author keywords

Prediction; Rockburst; Statistical learning theory; Stope; Support vector machine; Tunnel

Indexed keywords

FORECASTING; MATHEMATICAL MODELS; STATISTICAL METHODS; TUNNELS; VECTORS;

NONLINEAR RELATIONSHIP; STOPE; SUPPORT VECTOR MACHINE;

ROCK BURSTS;

EID: 0036389365     PISSN: 10053026     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (10)

1. A new direction-intelligent rock mechanics and rock engineering
2. On rockburst in South African gold mines
3. Rockburst prediction based on neural network
4. An expert system on assessing rockburst risks for South African deep gold mines
5. Self-extraction of rockburst knowledge of mining at great depth using data mining
6. A tutorial on support vector machines for pattern recognition
7. Multi-expert decision-making algorithms based on support vector machine
8. How good are support vector machines
9. Sequential minimal optimization: A fast algorithm for training support vector machines