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A machine learning-based surrogate model for the rapid control of piping flow: Application to a natural gas flowmeter calibration system

ISSN号:1875-5100

卷、期、页:卷98

发表日期:2022-02-01

期刊分区(SCI为中科院分区):二区

收录情况:SCI(科学引文索引印刷版),地学领域高质量科技期刊分级目录(国外T1),EI(工程索引),SCIE(科学引文索引网络版)

发表期刊名称:Journal of Natural Gas Science and Engineering

参与作者:吴岩

通讯作者:殷雄,韩旭,Mukhtar, Yasir

第一作者:温凯,宫敬

论文类型:期刊论文

论文概要:殷雄,温凯,吴岩,韩旭,Mukhtar, Yasir,宫敬,A machine learning-based surrogate model for the rapid control of piping flow: Application to a natural gas flowmeter calibration system,Journal of Natural Gas Science and Engineering,2022,卷98

论文题目:A machine learning-based surrogate model for the rapid control of piping flow: Application to a natural gas flowmeter calibration system

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