A machine learning based regression methods to predicting syngas composition for plasma gasification system

Ahmed Abdel-Rahim; Özgün Yücel

doi:10.1016/j.fuel.2024.133575

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A machine learning based regression methods to predicting syngas composition for plasma gasification system

Ahmed Abdel-Rahim Özgün Yücel

Year: 2024 Journal: Fuel Vol: 381 Pages: 133575-133575 Publisher: Elsevier BV

DOI: 10.1016/j.fuel.2024.133575

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Keywords:

Syngas Gas composition Regression Composition (language) Process engineering Regression analysis Plasma Computer science Machine learning Chemistry Mathematics Statistics Thermodynamics Engineering Catalysis Physics Organic chemistry Nuclear physics

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Catalytic Processes in Materials Science

Physical Sciences → Materials Science → Materials Chemistry

Iron and Steelmaking Processes

Physical Sciences → Engineering → Mechanical Engineering

Catalysis and Oxidation Reactions

Physical Sciences → Chemical Engineering → Catalysis

A machine learning based regression methods to predicting syngas composition for plasma gasification system

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