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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)...

Ful tanımlama

Kaydedildi:
Asıl Yazarlar: Hung-Ta Wen, Hom-Yu Wu, Kuo-Chien Liao
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: MDPI AG 2022-12-01
Seri Bilgileri:Inventions
Konular:
artificial intelligence model
biomass gasification
lower heating value
equivalence ratio
feature importance analysis
XGBoost regression
Online Erişim:https://www.mdpi.com/2411-5134/7/4/126
Etiketler: Etiketle
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