Soft Periodic Convolutional Recurrent Network for Spatiotemporal Climate Forecast

Many machine-learning applications and methods are emerging to solve problems associated with spatiotemporal climate forecasting; however, a prediction algorithm that considers only short-range sequential information may not be adequate to deal with periodic patterns such as seasonality. In this pap...

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Bibliographic Details
Main Authors: Ekasit Phermphoonphiphat, Tomohiko Tomita, Takashi Morita, Masayuki Numao, Ken-Ichi Fukui
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/20/9728