A prediction model based on LSTM for key parameters of the molten salt-to-air heat exchanger
NUCLEAR ENERGY SCIENCE AND ENGINEERING|更新时间:2025-12-15
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A prediction model based on LSTM for key parameters of the molten salt-to-air heat exchanger
“In the field of molten salt reactor systems, experts have proposed an LSTM based MSAHX state parameter prediction model and used TPE for hyperparameter optimization, providing a solution for equipment operation and maintenance.”
ZHANG Jinlong, male, born in 2000, graduated from Nanjing University in 2021, master student, focusing on intelligent prediction and diagnosis of molten salt reactor equipment
ZHANG Jinlong,CHENG Maosong,ZUO Xiandi,et al.A prediction model based on, LSTM for key parameters of the molten salt-to-air heat exchanger[J].NUCLEAR , TECHNIQUES,2025,48(12):120607-120607.
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