Multi-time-scale input approaches for hourly-scale rainfall–runoff modeling based on recurrent neural networks

This study proposes two effective approaches to reduce the required computational time of the training process for time-series modeling through a recurrent neural network (RNN) using multi-time-scale time-series data as input. One approach provides coarse and fine temporal resolutions of the input t...

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Auteurs principaux: Kei Ishida, Masato Kiyama, Ali Ercan, Motoki Amagasaki, Tongbi Tu
Format: article
Langue:EN
Publié: IWA Publishing 2021
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Accès en ligne:https://doaj.org/article/f36464a284db4bdab36e3713acd52fd7
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