Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/3966
Title: Comparison of Gross Calorific Value Estimation of Turkish Coals using Regression and Neural Networks Techniques
Authors: Özbayoğlu, Ahmet Murat
Özbayoğlu, Mehmet Evren
Özbayoğlu, Gülhan
Keywords: lignites
gross calorific value
proximate analysis
ultimate analysis
regression
neural networks
Issue Date: Sep-2012
Publisher: Metso,Vale,Tata Steel,ESSAR STEEL,TATA CONSULTANCY SERVICE
Source: Ozbayoglu, A.M., Ozbayoglu, M.E. and Ozbayoglu, G., “Comparison of Gross Calorific Value Estimation of Turkish Coals using Regression and Neural Networks Techniques”, XXVIth International Mineral Processing Congress (IMPC 2012), Paper No: 420, pp. 4011-4023, Yeni Delhi, Hindistan, 24-28 Eylül, 2012.
Abstract: Gross calorific value (GCV) of coals was estimated using artificial neural networks, linear and non- linear regression techniques. Proximate and ultimate analysis results were collected for 187 different coal samples. Different input data sets were compared, such as both proximate and ultimate analysis data, and only proximate analysis data and only ultimate analysis data. It was observed that the best results were obtained when both proximate analysis and ultimate analysis results were used for estimating the gross calorific value. When the performance of artificial neural networks and regression analysis techniques were compared, it was observed that both artificial neural networks and regression techniques were promisingly accurate in estimating gross calorific values. In general, most of the models estimated the gross calorific value within ±3% of the expected value.
Description: 26th International Mineral Processing Congress, IMPC (2012 : New Delhi; India)
URI: http://www.impc-council.com/IMPC_2012_Proceedings_INDIA.pdf
https://hdl.handle.net/20.500.11851/3966
ISBN: 8190171437
978-819017143-4
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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