Prediction of sea ice area based on the CEEMDAN-SO-BiLSTM model

This article proposes a combined prediction model based on a bidirectional long short-term memory (BiLSTM) neural network optimized by the snake optimizer (SO) under complete ensemble empirical mode decomposition with adaptive noise. First, complete ensemble empirical mode decomposition with adaptiv...

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Detalles Bibliográficos
Autores principales: Guo, Qiao, Zhang, Haoyu, Zhang, Yuhao, Jiang, Xuchu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Computational Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10362850/
https://www.ncbi.nlm.nih.gov/pubmed/37483978
http://dx.doi.org/10.7717/peerj.15748

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10362850/
https://www.ncbi.nlm.nih.gov/pubmed/37483978
http://dx.doi.org/10.7717/peerj.15748

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