Regression prediction of hydrogen enriched compressed natural gas (HCNG) engine performance based on improved particle swarm optimization back propagation neural network method (IMPSO-BPNN)

•The maximum torque and minimum fuel consumption occur at MBT with relatively low NOx.•IMSPO-BPNN model has the highest prediction accuracy and the best generalization ability.•The IMPSO-BPNN method has great superiority in operation speed.•IMSPO-BPNN method is a suitable choice for the prediction o...

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Veröffentlicht in:	Fuel (Guildford) Jg. 331; S. 125872
Hauptverfasser:	Duan, Hao, Yin, Xiaojun, Kou, Hailiang, Wang, Jinhua, Zeng, Ke, Ma, Fanhua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.01.2023
Schlagworte:	Artificial neural network Calibration method HCNG Particle swarm algorithm Support vector machine Calibration method Particle swarm algorithm Artificial neural network Support vector machine HCNG
ISSN:	0016-2361, 1873-7153
Online-Zugang:	Volltext
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