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...

Full description

Bibliographic Details

Published in:	Fuel (Guildford) Vol. 331; p. 125872
Main Authors:	Duan, Hao, Yin, Xiaojun, Kou, Hailiang, Wang, Jinhua, Zeng, Ke, Ma, Fanhua
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.01.2023
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!