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Data for: Application of Cost-Sensitive LSTM in Water Level Prediction for Nuclear Reactor Pressurizer

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资源简介:
data: Normalized data sampled from a nuclear power plant simulator, including pressurizer water level and other six parameters according to the transient process of increasing reactor power from 30% to 90%. code: including CSLSTM, LSTM and SVR models in two experiment settings, i.e. global learning setting and local learning setting.
创建时间:
2020-01-13
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