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

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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Bibliographic Details
Main Authors: Kei Ishida, Masato Kiyama, Ali Ercan, Motoki Amagasaki, Tongbi Tu
Format: Article
Language:English
Published: IWA Publishing 2021-11-01
Series:Journal of Hydroinformatics
Subjects:
deep learning
fine temporal resolution
long short-term memory network
rainfall–runoff modeling
time-series modeling
Online Access:http://jh.iwaponline.com/content/23/6/1312

Internet

http://jh.iwaponline.com/content/23/6/1312

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