Prediction models of coal bed gas content based on BP neural networks and its applications

Zhongguo Kuangye Daxue Xuebao/Journal of China University of Mining and Technology

Volumn 37, Issue 4, 2008, Pages 456-461

  Meng, Zhao Ping ^a   Tian, Yong Dong ^a   Lei, Yang ^a  

^a CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

Author keywords

BP neural networks model; Coal bed gas; Gas content

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; COAL; COAL DEPOSITS; COAL INDUSTRY; ERROR ANALYSIS; FORECASTING; GASES; MATHEMATICAL MODELS; METAMORPHIC ROCKS; NEURAL NETWORKS;

BP NEURAL NETWORKS; BP NEURAL NETWORKS MODEL; BURIED DEPTH; COAL BED GAS; COAL BEDS; COAL QUALITY; COAL ROCKS; COAL SEAMS; CONTROLLING FACTORS; GAS CONTENT; GAS CONTENTS; MEAN VALUE; MEASURED VALUES; NON-LINEAR APPROACH; NON-LINEAR RELATIONSHIPS; PREDICTION METHODS; PREDICTION MODELING; QINSHUI BASIN; VITRINITE;

COAL GAS;

EID: 48549105627     PISSN: 10001964     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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