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Energy Sources, Part A: Recovery, Utilization, and Environmental Effects Volume 43, 2021 - Issue 15
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Research Article

Predicting coal elemental components from proximate analysis: Explicit versus implicit nonlinear models

Ali Volkan AkkayaDepartment of Mechanical Engineering, Yildiz Technical University, Istanbul, TurkeyCorrespondence[email protected]
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Pages 1825-1837 | Received 26 Mar 2019, Accepted 27 May 2019, Published online: 08 Jul 2019

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Josip Ivšinović, Maria Alzira Pimenta Dinis, Tomislav Malvić & Dubravka Pleše. (2021) Application of the bootstrap method in low-sampled Upper Miocene sandstone hydrocarbon reservoirs: a case study. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 0:0, pages 1-15.
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Zeynep Ceylan & Bilal Sungur. (2020) Estimation of coal elemental composition from proximate analysis using machine learning techniques. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 42:20, pages 2576-2592.
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Ali Volkan Akkaya & Burhanettin Çetin. (2020) Formulating a novel combined equation for coal calorific value estimation by group method data handling type neural network. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 0:0, pages 1-14.
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