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Using XGBoost Regression to Analyze the Importance of Input Features Applied to an Artificial Intelligence Model for the Biomass Gasification System

Recently, artificial intelligence models have been developed to simulate the biomass gasification systems. The extant research models use different input features, such as carbon, hydrogen, nitrogen, sulfur, oxygen, and moisture content, in addition to ash, reaction temperature, volatile matter (VM)...

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Principais autores: Hung-Ta Wen, Hom-Yu Wu, Kuo-Chien Liao
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2022-12-01
coleção:Inventions
Assuntos:
artificial intelligence model
biomass gasification
lower heating value
equivalence ratio
feature importance analysis
XGBoost regression
Acesso em linha:https://www.mdpi.com/2411-5134/7/4/126
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