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Development and evaluation of bidirectional LSTM freeway traffic forecasting models using simulation data
Long short-term memory (LSTM) models provide high predictive performance through their ability to recognize longer sequences of time series data. More recently, bidirectional deep learning models (BiLSTM) have extended the LSTM capabilities by training the input data twice in forward and backward di...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8668885/ https://www.ncbi.nlm.nih.gov/pubmed/34903780 http://dx.doi.org/10.1038/s41598-021-03282-z |