Interpretable tourism volume forecasting with multivariate time series under the impact of COVID-19.

Wu, Binrong; Wang, Lin; Tao, Rui; Zeng, Yu-Rong

Wu, Binrong; Wang, Lin; Tao, Rui; Zeng, Yu-Rong.

Afiliación

Wu B; School of Management, Huazhong University of Science and Technology, Wuhan, 430074 China.
Wang L; School of Management, Huazhong University of Science and Technology, Wuhan, 430074 China.
Tao R; School of Management, Huazhong University of Science and Technology, Wuhan, 430074 China.
Zeng YR; Hubei University of Economics, Wuhan, 430205 China.

Neural Comput Appl ; 35(7): 5437-5463, 2023.

Article en En | MEDLINE | ID: mdl-36373134

Palabras clave

COVID-19; Deep learning; Interpretable tourism demand forecasting; Variational mode decomposition

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Neural Comput Appl Año: 2023 Tipo del documento: Article Pais de publicación: Reino Unido

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