This paper proposes the use of a coupled fault tree analysis (FTA) and artificial neural network (ANN) model to improve the prediction of the potential risk of coal and gas outburst events during the underground mining of thick and deep Chinese coal seams. The model developed has been used to invest
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Application of the catastrophe progression method in predicting coal and gas outburst
β Scribed by Tian-jun ZHANG; Shu-xin REN; Shu-gang LI; Tian-cai ZHANG; Hong-jie XU
- Publisher
- Elsevier
- Year
- 2009
- Tongue
- English
- Weight
- 208 KB
- Volume
- 19
- Category
- Article
- ISSN
- 1674-5264
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