Improved genetic algorithm optimized LSTM model and its application in short-term traffic flow prediction

Considering that the road short-term traffic flow has strong time series correlation characteristics, a new long-term and short-term memory neural network (LSTM)-based prediction model optimized by the improved genetic algorithm (IGA) is proposed to improve the prediction accuracy of road traffic fl...

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Detalles Bibliográficos
Autores principales: Zhang, Junxi, Qu, Shiru, Zhang, Zhiteng, Cheng, Shaokang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Adaptive and Self-Organizing Systems
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454874/
https://www.ncbi.nlm.nih.gov/pubmed/36091988
http://dx.doi.org/10.7717/peerj-cs.1048

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454874/
https://www.ncbi.nlm.nih.gov/pubmed/36091988
http://dx.doi.org/10.7717/peerj-cs.1048

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