A novel approach for coal seam terrain prediction through information fusion of improved D-S evidence theory and neural network

Measurement: Journal of the International Measurement Confederation

Volumn 54, Issue , 2014, Pages 140-151

  Si, Lei ^a   Wang, Zhongbin ^a   Tan, Chao ^a   Liu, Xinhua ^a  

^a CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

Author keywords

Coal seam terrain prediction; Confidence level; D S evidence theory; Information fusion; Neural network

Indexed keywords

COAL DEPOSITS; INDUSTRIAL APPLICATIONS; INFORMATION FUSION; LANDFORMS; NEURAL NETWORKS;

COAL SEAMS; COMPARISON RESULT; CONFIDENCE LEVELS; D S EVIDENCE THEORY; EVIDENCE THEORIES; MINING AUTOMATION; PREDICTION METHODS; SIMULATION EXAMPLE;

FORECASTING;

EID: 84901058100     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2014.04.015     Document Type: Article

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