Prediction of higher heating value of coal based on gradient boosting regression tree model-Reference-Cited by-同舟云学术

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Prediction of higher heating value of coal based on gradient boosting regression tree model

Published:2023-06 Issue: Volume:274 Page:104293
ISSN:0166-5162
Container-title:International Journal of Coal Geology
language:en
Short-container-title:International Journal of Coal Geology

Author:

Xu Na,Wang Zhiwei,Dai Yuchen,Li Qiang,Zhu Wei,Wang Ru,Finkelman Robert B.

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Stratigraphy,Economic Geology,Geology,Fuel Technology

Reference53 articles.

1. Proximate analyses and predicting HHV of chars obtained from cocracking of petroleum vacuum residue with coal, plastics and biomass;Ahmaruzzaman;Bioresour. Technol.,2008

2. Proximate analysis based multiple regression models for higher heating value estimation of low rank coals;Akkaya;Fuel Process. Technol.,2009

3. Predicting coal heating values using proximate analysis via a neural network approach;Akkaya;Energy Sources Part A: Recover. Util. Environ. Effects,2013

4. Coal higher heating value prediction using constituents of proximate analysis: Gaussian process regression model;Akkaya;Int. J. Coal Prep. Util.,2022

5. Application of metaheuristic based artificial neural network and multilinear regression for the prediction of higher heating values of fuels;Aladejare;Int. J. Coal Prep. Util.,2022

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