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Empirical mode decomposition based long short-term memory neural network forecasting model for the short-term metro passenger flow
Short-term metro passenger flow forecasting is an essential component of intelligent transportation systems (ITS) and can be applied to optimize the passenger flow organization of a station and offer data support for metro passenger flow early warning and system management. LSTM neural networks have...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6738919/ https://ncbi.nlm.nih.gov/pubmed/31509599 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0222365 |
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