Convolutional Neural Network Coupled with a Transfer-Learning Approach for Time-Series Flood Predictions

Convolutional Neural Network Coupled with a Transfer-Learning Approach for Time-Series Flood Predictions

East Asian regions in the North Pacific have recently experienced severe riverine flood disasters. State-of-the-art neural networks are currently utilized as a quick-response flood model. Neural networks typically require ample time in the training process because of the use of numerous datasets. To...

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Bibliographic Details
Main Authors: Nobuaki Kimura, Ikuo Yoshinaga, Kenji Sekijima, Issaku Azechi, Daichi Baba
Format: Article
Language:English
Published: MDPI AG 2019-12-01
Series:Water
Subjects:
transfer learning
cnn
time-series datasets
flood prediction
Online Access:https://www.mdpi.com/2073-4441/12/1/96

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