Activation energy prediction of biomass wastes based on different neural network topologies-Reference-Cited by-同舟云学术

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Activation energy prediction of biomass wastes based on different neural network topologies

Published:2018-05 Issue: Volume:220 Page:535-545
ISSN:0016-2361
Container-title:Fuel
language:en
Short-container-title:Fuel

Author:

Çepelioğullar Özge,Mutlu İlhan,Yaman Serdar^ORCID,Haykiri-Acma Hanzade

Funder

The Scientific and Technological Research Council of Turkey

Istanbul Technical University

Publisher

Elsevier BV

Subject

Organic Chemistry,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Reference24 articles.

1. Numerical study of co-firing pulverized coal and biomass inside a cement calciner;Mikulcic;Waste Manage Res,2014

2. Lignocellulosic biomass pyrolysis mechanism: a state-of-the-art review;Wang;Prog Energy Combust,2017

3. Production of solid fuel biochar from waste biomass by low temperature pyrolysis;Liu;Fuel,2015

4. Experimental and modeling study of pyrolysis of coal, biomass and blended coal-biomass particles;Wan;Fuel,2015

5. Combustion behaviour of Turkish lignite in O2/N2 and O2/CO2 mixtures by using TGA-FTIR;Selcuk;J Anal Appl Pyrol,2011

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4. Thermo-kinetics study of microalgal biomass in oxidative torrefaction followed by machine learning regression and classification approaches;Energy;2024-08

5. Kinetic and Artificial neural network modelling of marabú (Dichrostachys cinerea) pyrolysis based on thermogravimetric data;Biomass Conversion and Biorefinery;2024-05-22

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