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    Article

    A novel hybrid data-driven model for multi-input single-output system simulation

    Artificial neural network (ANN)-based data-driven model is an effective and robust tool for multi-input single-output (MISO) system simulation task. However, there are several conundrums which deteriorate the ...

    Guangyuan Kan, **aoyan He, Jiren Li, Liuqian Ding… in Neural Computing and Applications (2018)

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    Article

    A new hybrid data-driven model for event-based rainfall–runoff simulation

    A new hybrid data-driven model named PBK has been proposed to improve the event-based rainfall–runoff simulation. The PBK is developed by coupling partial mutual information-based input variable selection (IV...

    Guangyuan Kan, Jiren Li, **ngnan Zhang, Liuqian Ding… in Neural Computing and Applications (2017)