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Volumn 84, Issue 2, 2010, Pages 141-152

The application of a coupled artificial neural network and fault tree analysis model to predict coal and gas outbursts

Author keywords

Artificial neural network; Coal and gas outbursts; Fault tree analysis; Prediction methods

Indexed keywords

ALARM LEVEL; ALTERNATIVE METHODS; ANHUI PROVINCE; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORK MODELS; CHINESE COAL; COAL AND GAS OUTBURST; COAL AND GAS OUTBURSTS; COAL MINING; COAL SEAMS; COMBINED SOLUTION; EMISSION CHARACTERISTICS; FAULT-TREES; GAS CONTENT; GAS PRESSURES; GEOLOGICAL CONDITIONS; GEOTECHNICAL CONDITIONS; HIGH INCIDENCE; IN-SITU; INPUT VARIABLES; MODEL PARAMETERS; MODEL RELATIONSHIPS; MODEL SOLUTION; POTENTIAL RISKS; PREDICTION METHODS; PREDICTION MODEL; QUALITATIVE DATA; RISK INDICES; UNDERGROUND MINING;

EID: 77957863697     PISSN: 01665162     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.coal.2010.09.004     Document Type: Article
Times cited : (129)

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