A Method Based on GA-CNN-LSTM for Daily Tourist Flow Prediction at Scenic Spots

Accurate tourist flow prediction is key to ensuring the normal operation of popular scenic spots. However, one single model cannot effectively grasp the characteristics of the data and make accurate predictions because of the strong nonlinear characteristics of daily tourist flow data. Accordingly,...

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Detalles Bibliográficos
Autores principales: Lu, Wenxing, Rui, Haidong, Liang, Changyong, Jiang, Li, Zhao, Shuping, Li, Keqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7838789/
https://www.ncbi.nlm.nih.gov/pubmed/33286035
http://dx.doi.org/10.3390/e22030261

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7838789/
https://www.ncbi.nlm.nih.gov/pubmed/33286035
http://dx.doi.org/10.3390/e22030261

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