"Long Short-Term Memory Networks for Traffic Flow Forecasting: Exploring ..."

Bruno Fernandes et al. (2020)

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DOI: 10.15388/20-INFOR431

access: closed

type: Journal Article

metadata version: 2024-02-05

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  - https://dblp.org/rec/journals/informaticaLT/FernandesSANNA20
Bruno Fernandes, Fábio Silva, Héctor Alaiz-Moretón, Paulo Novais, José Neves, Cesar Analide:
Long Short-Term Memory Networks for Traffic Flow Forecasting: Exploring Input Variables, Time Frames and Multi-Step Approaches. Informatica 31(4): 723-749 (2020)

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