Prediction method of reactor transient thermal-hydraulic parameters based on Seq2Seq model
Special Issue on The First Academic Annual Conference of the Research Reactor and Innovative Reactor Association of Chinese Nuclear Society and Advanced Nuclear Power System Reactor Engineering|更新时间:2025-08-19
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Prediction method of reactor transient thermal-hydraulic parameters based on Seq2Seq model
“According to the latest report, researchers have developed a Seq2Seq neural network model coupled with CNN-LSTM, which preprocesses data through wavelet decomposition and predicts key thermal parameters of reactors. It has high accuracy and strong fitting ability, providing reference for improving reactor safety.”