增强热力学参数估计：粗糙集理论与深度学习的混合方法

IF 0.7 Q4 THERMODYNAMICS

International Journal of Heat and Technology Pub Date : 2023-12-31 DOI:10.18280/ijht.410621

Man Zhang

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Enhanced Estimation of Thermodynamic Parameters: A Hybrid Approach Integrating Rough Set Theory and Deep Learning

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来源期刊

International Journal of Heat and Technology THERMODYNAMICS-

CiteScore

1.60

自引率

22.20%

发文量

144

期刊介绍： The IJHT covers all kinds of subjects related to heat and technology, including but not limited to turbulence, combustion, cryogenics, porous media, multiphase flow, radiative transfer, heat and mass transfer, micro- and nanoscale systems, and thermophysical property measurement. The editorial board encourages the authors from all countries to submit papers on the relevant issues, especially those aimed at the practitioner as much as the academic. The papers should further our understanding of the said subjects, and make a significant original contribution to knowledge. The IJHT welcomes original research papers, technical notes and review articles on the following disciplines: Heat transfer Fluid dynamics Thermodynamics Turbulence Combustion Cryogenics Porous media Multiphase flow Radiative transfer Heat and mass transfer Micro- and nanoscale systems Thermophysical property measurement.