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- Chelgani, Saeed ChehrehDepartment of Mining Engineering, Science and Research Branch,Islamic Azad University (author)
Estimation of some coal parameters depending on petrographic and inorganic analyses by using Genetic algorithm and adaptive neuro-fuzzy inference systems
- Article/chapterEnglish2011
Publisher, publication year, extent ...
- 2011-09-01
- Multi-Science Publishing,2011
- printrdacarrier
Numbers
- LIBRIS-ID:oai:DiVA.org:ltu-72287
- https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-72287URI
- https://doi.org/10.1260/0144-5987.29.4.479DOI
Supplementary language notes
- Language:English
- Summary in:English
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- SwePubSwePub
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Notes
- Adaptive neuro-fuzzy inference systems (ANFIS) in combination with genetic algorithm (GA); provide valuable modeling approaches of complex systems for a wide range of coal samples. Evaluation of this combination (GA-ANFIS) showed that the GA-ANFIS approach can be utilized as an efficient tool for describing and estimating some of coal variables such as Hardgrove grindability index, gross calorific value, free swelling index, and maximum vitrinite reflectance with various coal analyses (proximate, ultimate, elemental, and petrographic analysis). Statistical factors (correlation coefficient, mean square error, and variance accounted for) and differences between actual and predicted values demonstrated that the GA-ANFIS can be applied successfully, and provide high accuracy for prediction of those coal variables.
Subject headings and genre
- TEKNIK OCH TEKNOLOGIER Naturresursteknik Mineral- och gruvteknik hsv//swe
- ENGINEERING AND TECHNOLOGY Environmental Engineering Mineral and Mine Engineering hsv//eng
- ANFIS
- Genetic algorithm
- Grindability index
- Calorific value
- Free swelling index
- Maximum vitrinite reflectance
Added entries (persons, corporate bodies, meetings, titles ...)
- Dehghan, F.Department of Computer engineering, Jajarm Branch, Islamic Azad University, Iran (author)
- Hower, J. C.Center for Applied Energy Research, University of Kentucky, USA (author)
- Department of Mining Engineering, Science and Research Branch,Islamic Azad UniversityDepartment of Computer engineering, Jajarm Branch, Islamic Azad University, Iran (creator_code:org_t)
Related titles
- In:Energy Exploration and Exploitation: Multi-Science Publishing29:4, s. 479-4940144-59872048-4054
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