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Studies of relationships between Free Swelling Index (FSI) and coal quality by regression and Adaptive Neuro Fuzzy Inference System
Department of Mining Engineering, Science and Research Branch,Islamic Azad University, Iran.
Surface Science Western, Research Park, University of Western Ontario, Candada.ORCID iD: 0000-0002-2265-6321
Center for Applied Energy Research, University of Kentucky, USA.
Department of Mining Engineering, Science and Research Branch,Islamic Azad University, Iran.
2011 (English)In: International Journal of Coal Geology, ISSN 0166-5162, Vol. 85, no 1, p. 65-71Article in journal (Refereed) Published
Abstract [en]

The results of proximate, ultimate, and petrographic analysis for a wide range of Kentucky coal samples were used to predict Free Swelling Index (FSI) using multivariable regression and Adaptive Neuro Fuzzy Inference System (ANFIS). Three different input sets: (a) moisture, ash, and volatile matter; (b) carbon, hydrogen, nitrogen, oxygen, sulfur, and mineral matter; and (c) group-maceral analysis, mineral matter, moisture, sulfur, and Rmax were applied for both methods. Non-linear regression achieved the correlation coefficients (R2) of 0.38, 0.49, and 0.70 for input sets (a), (b), and (c), respectively. By using the same input sets, ANFIS predicted FSI with higher R2 of 0.46, 0.82 and 0.95, respectively. Results show that input set (c) is the best predictor of FSI in both prediction methods, and ANFIS significantly can be used to predict FSI when regression results do not have appropriate accuracy.

Place, publisher, year, edition, pages
2011. Vol. 85, no 1, p. 65-71
Keywords [en]
Free Swelling Index, Coking coal, Coal petrography, Ultimate analysis, Proximate analysis, Adaptive Neuro Fuzzy Inference System
National Category
Mineral and Mine Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-72290DOI: 10.1016/j.coal.2010.09.011ISI: 000286704600007Scopus ID: 2-s2.0-78650679954OAI: oai:DiVA.org:ltu-72290DiVA, id: diva2:1272026
Available from: 2018-12-18 Created: 2018-12-18 Last updated: 2019-02-25

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Chelgani, Saeed Chehreh

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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  • de-DE
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Output format
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