Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Nagasato, Takeyoshi"'
Autor:
Nagasato, Takeyoshi, Ishida, Kei, Ercan, Ali, Tu, Tongbi, Kiyama, Masato, Amagasaki, Motoki, Yokoo, Kazuki
Deep learning has been utilized for the statistical downscaling of climate data. Specifically, a two-dimensional (2D) convolutional neural network (CNN) has been successfully applied to precipitation estimation. This study implements a three-dimensio
Externí odkaz:
http://arxiv.org/abs/2112.06571
An architecture consisting of a serial coupling of the one-dimensional convolutional neural network (1D-CNN) and the long short-term memory (LSTM) network, which is referred as CNNsLSTM, was proposed for hourly-scale rainfall-runoff modeling in this
Externí odkaz:
http://arxiv.org/abs/2111.04732
Publikováno v:
In Journal of Environmental Management May 2024 359
Autor:
Yokoo, Kazuki, Ishida, Kei, Ercan, Ali, Tu, Tongbi, Nagasato, Takeyoshi, Kiyama, Masato, Amagasaki, Motoki
This study investigates the relationships which deep learning methods can identify between the input and output data. As a case study, rainfall-runoff modeling in a snow-dominated watershed by means of a long- and short-term memory (LSTM) network is
Externí odkaz:
http://arxiv.org/abs/2106.07963
Autor:
Yokoo, Kazuki, Ishida, Kei, Ercan, Ali, Tu, Tongbi, Nagasato, Takeyoshi, Kiyama, Masato, Amagasaki, Motoki
Publikováno v:
In Science of the Total Environment 1 January 2022 802