JT9D Engine Thrust Estimation and Model Sensitivity Analysis Using Gradient Boosting Regression Method

In recent years, artificial intelligence (AI) technology has been applied in different research fields. In this study, the XGBoost regression model is proposed to estimate JT9D engine thrust. The model performance mean absolute error (MAE) is 0.004845, the mean-squared error (MSE) is 0.000161, and t...

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Autori principali:	Hung-Ta Wen, Hom-Yu Wu, Kuo-Chien Liao, Wei-Chuan Chen
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2023-07-01
Serie:	Aerospace
Soggetti:	artificial intelligence (AI) XGBoost regression model mean absolute error mean-squared error coefficient of determination sensitivity analysis
Accesso online:	https://www.mdpi.com/2226-4310/10/7/639
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