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Prediction of macerals contents of Indian coals from proximate and ultimate analyses using artificial neural networks

Author
KHANDELWAL, Manoj1 ; SINGH, T. N2
[1] Department of Mining Engineering, College of Technology and Engineering, Maharana Pratap University of Agriculture and Technology, Udaipur 313 001, India
[2] Department of Earth Sciences, Indian Institute of Technology Bombay, Powai, Mumbai 400 076, India
Source

Fuel (Guildford). 2010, Vol 89, Num 5, pp 1101-1109, 9 p ; ref : 24 ref

ISSN
0016-2361
Scientific domain
Energy; Geology
Publisher
Elsevier, Kidlington
Publication country
United Kingdom
Document type
Article
Language
English
Author keyword
Artificial neural network (ANN) Macerals Multi-variate regression analysis (MVRA) Proximate analysis Ultimate analysis
Keyword (fr)
Analyse immédiate Analyse régression Charbon Macéral Pouvoir calorifique Réseau neuronal Inde Asie
Keyword (en)
Proximate analysis Regression analysis Coal Maceral Calorific value Neural network India Asia
Keyword (es)
Análisis inmediato Análisis regresión Carbón Maceral Poder calorífico Red neuronal India Asia
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D06 Energy / 001D06B Fuels / 001D06B01 Coal and derived products / 001D06B01B Structure, chemical and physical properties

Discipline
Energy
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
22607387

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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