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Bi-Lstm Neural Networks For Traffic Flow Prediction: An Empirical Evaluation

AuthID
P-017-DC2

Author(s)

Alves, BA

Fontes, T

Rossetti, R

Editor(s)

Santos,MF;Machado,J;Novais,P;Cortez,P;Moreira,PM

Document Type

Proceedings Paper

Year published

2025

Published

in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 0302-9743

Volume: 14968 LNAI, Pages: 233-245 (12)

Conference

23Rd Epia Conference on Artificial Intelligence, Epia 2024, Date: 3 September 2024 through 6 September 2024, Location: Viana do Castelo

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Metadata
Sources

Publication Identifiers

DOI: 10.1007/978-3-031-73500-4_20

Scopus: 2-s2.0-85210252043

Source Identifiers

ISSN: 0302-9743

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Bi-Lstm Neural Networks For Traffic Flow Prediction: An Empirical Evaluation

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