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    Recurrent Neural Network Model for Signal Prediction in a LOCA Event

    Abstract: Normal 0 false false false MicrosoftInternetExplorer4 In this study, an artificial neural network (ANN) model with the Elman recurrent structure is developed to predict thermo-hydraulic signals in a loss of coolant accident (LOCA). In the prediction procedure, a few previous samples of a signal at the time of the accident are fed to the ANN and the output value of next time steps are estimated by the network output. The …

    Published in Journal of Nuclear Engineering & Technology · Vol. 1, Issue 2-3, 2011 Read article

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