Learning enhancement method of long short-term memory network and its applicability in hydrological time series prediction

HIGHLIGHTS

• who: Jeonghyeon Choi and colleagues from the Department of Hydro Science and Engineering Research, Institute of Civil Engineering and Building Division of Earth Environmental System Science, Pukyong National University, Busan , have published the paper: Learning Enhancement Method of Long Short-Term Memory Network and Its Applicability in Hydrological Time Series Prediction, in the Journal: Water 2022, 14, x FOR PEER REVIEW of /2022/
• what: These models are based on various hydrological processes, and the models can provide reasonable streamflow simulations when the processes are well-captured. In this study, the performance LSTM is evaluated for . . .
  

   

  

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