Performance and improvement of deep learning algorithms based on LSTM in traffic flow prediction
Abstract Existing traffic flow prediction research lacks adaptability to complex traffic scenarios and has limited prediction accuracy. This paper introduces an improved LSTM (Long Short-Term Memory) algorithm and sliding window technology to improve the accuracy and stability of traffic flow predic...
Na minha lista:
| Principais autores: | , , |
|---|---|
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer
2025-03-01
|
| coleção: | Discover Applied Sciences |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/s42452-025-06702-1 |
| Tags: |
Sem tags, seja o primeiro a adicionar uma tag!
|