Supercritical thermophysical properties prediction of multi-component hydrocarbon fuels based on artificial neural network models
Crossref DOI link: https://doi.org/10.1007/s11431-021-1931-9
Published Online: 2021-12-16
Published Print: 2022-04
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Ming, ZhenYang
Liu, HaiFeng
Wang, QianLong
Yue, ZongYu
Cui, YanQing
Wen, MingSheng
Yao, MingFa
Text and Data Mining valid from 2021-12-16
Version of Record valid from 2021-12-16
Article History
Received: 6 July 2021
Accepted: 10 September 2021
First Online: 16 December 2021