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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Vydané v:	Fuel (Guildford) Ročník 331; s. 125872
Hlavní autori:	Duan, Hao, Yin, Xiaojun, Kou, Hailiang, Wang, Jinhua, Zeng, Ke, Ma, Fanhua
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.01.2023
Predmet:	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
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