A Surrogate Model for a CAES Radial Inflow Turbine with Test Data-Based MLP Neural Network AlgorithmOACSCDEI
A Surrogate Model for a CAES Radial Inflow Turbine with Test Data-Based MLP Neural Network Algorithm
WANG Xing;ZHU Yangli;LI Wen;ZUO Zhitao;CHEN Haisheng
National Energy Large Scale Physical Energy Storage Technologies R&D Center(Bijie),Bijie 551712,ChinaInstitute of Engineering Thermophysics,Chinese Academy of Sciences,Beijing 100190,China||University of Chinese Academy of Sciences,Beijing 101408,ChinaInstitute of Engineering Thermophysics,Chinese Academy of Sciences,Beijing 100190,China||University of Chinese Academy of Sciences,Beijing 101408,ChinaNational Energy Large Scale Physical Energy Storage Technologies R&D Center(Bijie),Bijie 551712,China||Institute of Engineering Thermophysics,Chinese Academy of Sciences,Beijing 100190,China||University of Chinese Academy of Sciences,Beijing 101408,ChinaNational Energy Large Scale Physical Energy Storage Technologies R&D Center(Bijie),Bijie 551712,China||Institute of Engineering Thermophysics,Chinese Academy of Sciences,Beijing 100190,China||University of Chinese Academy of Sciences,Beijing 101408,China
CAESsurrogate modelradial inflow turbineMLP neural network
CAESsurrogate modelradial inflow turbineMLP neural network
《热科学学报（英文版）》 2023 (6)
2081-2092,12
The work is supported by Strategic Priority Research Program of the Chinses Academy of Sciences(51925604)National Natural Science Foundation of China(51806211)The Science and Technology Foundation of Guizhou Province(No.[2019]1285).The authors would like to thank the above organizations for their financial support.
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