Classification of Indian power coals using K-means clustering and Self Organizing Map neural network

Fuel

Volumn 90, Issue 1, 2011, Pages 339-347

  Pandit, Yogesh P ^a   Badhe, Yogesh P ^a,c   Sharma, B K ^b   Tambe, Sanjeev S ^a   Kulkarni, Bhaskar D ^a  

^a NATIONAL CHEMICAL LABORATORY   (India)

^b CSIR CENTRAL INSTITUTE OF MINING AND FUEL RESEARCH   (India)

^c PERSISTENT SYSTEMS LTD   (India)

Author keywords

Coal classification; Indian power coals; K means clustering; Self Organizing Map

Indexed keywords

APPLICATION-SPECIFIC; CLASSIFICATION RESULTS; COAL CLASSIFICATION; COAL SAMPLE; DESCRIPTORS; GEOGRAPHICAL ORIGINS; GRADING SYSTEM; HEAT VALUE; INDIAN POWER COALS; K-MEANS; K-MEANS CLUSTERING; NON-COKING COALS; SELF-ORGANIZING MAP NEURAL NETWORK; THERMAL POWER STATIONS; UNSUPERVISED CLUSTERING TECHNIQUE; VOLATILE MATTERS;

ARTIFICIAL INTELLIGENCE; COAL; COAL INDUSTRY; CONFORMAL MAPPING; SELF ORGANIZING MAPS; SPEECH RECOGNITION;

COKING;

EID: 78449307665     PISSN: 00162361     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fuel.2010.09.012     Document Type: Article

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