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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Hlavní autoři:	Hung-Ta Wen, Hom-Yu Wu, Kuo-Chien Liao, Wei-Chuan Chen
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2023-07-01
Edice:	Aerospace
Témata:	artificial intelligence (AI) XGBoost regression model mean absolute error mean-squared error coefficient of determination sensitivity analysis
On-line přístup:	https://www.mdpi.com/2226-4310/10/7/639
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