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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
发布时间:2023-06-29
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