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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2023
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| Materias: | |
| 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 |