Jiang, Xiaojing https://orcid.org/0009-0006-2616-9834
Li, Mengyu https://orcid.org/0000-0002-3591-5898
Li, Wei https://orcid.org/0009-0005-0708-0642
Li, Yuanzong https://orcid.org/0009-0007-5546-4987
Wang, Ruiqi https://orcid.org/0000-0002-8321-0622
Chen, Hanqing https://orcid.org/0009-0005-4623-2135
Gao, Zhongke https://orcid.org/0000-0002-9551-202X
Funding for this research was provided by:
Taishan Industrial Experts Program
National Natural Science Foundation of Tianjin, China (21JCJQJC00130)
National Natural Science Foundation of China (62203079)
China Postdoctoral Science Foundation (2023M732610)
Article Title: A multi-task learning model with feature separation constraint for parameter prediction of gas–liquid two-phase flow
Journal Title: Measurement Science and Technology
Article Type: paper
Copyright Information: © 2025 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Publication dates
Date Received: 2024-08-29
Date Accepted: 2024-12-20
Online publication date: 2025-01-07