PDED-ConvLSTM: Pyramid Dilated Deeper Encoder–Decoder Convolutional LSTM for Arctic Sea Ice Concentration Prediction

Arctic sea ice concentration plays a key role in the global ecosystem. However, accurate prediction of Arctic sea ice concentration remains a challenging task due to its inherent nonlinearity and complex spatiotemporal correlations. To address these challenges, we propose an innovative encoder–decod...

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Vydané v:	Applied sciences Ročník 14; číslo 8; s. 3278
Hlavní autori:	Zhang, Deyu, Wang, Changying, Huang, Baoxiang, Ren, Jing, Zhao, Junli, Hou, Guojia
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.04.2024
Predmet:	Accuracy Deep learning dilated encoder–decoder ConvLSTM Forecasting Neural networks pyramidal convolution Sea ice sea ice concentration prediction Arctic China Arctic region
ISSN:	2076-3417, 2076-3417
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