Determinants of Tourism Stocks During the COVID-19: Evidence From the Deep Learning Models.

Pan, Wen-Tsao; Huang, Qiu-Yu; Yang, Zi-Yin; Zhu, Fei-Yan; Pang, Yu-Ning; Zhuang, Mei-Er

Pan, Wen-Tsao; Huang, Qiu-Yu; Yang, Zi-Yin; Zhu, Fei-Yan; Pang, Yu-Ning; Zhuang, Mei-Er.

Afiliação

Pan WT; School of Business, Guangdong University of Foreign Studies, Guangzhou, China.
Huang QY; School of Business, Guangdong University of Foreign Studies, Guangzhou, China.
Yang ZY; School of Business, Guangdong University of Foreign Studies, Guangzhou, China.
Zhu FY; School of Business, Guangdong University of Foreign Studies, Guangzhou, China.
Pang YN; School of Business, Guangdong University of Foreign Studies, Guangzhou, China.
Zhuang ME; School of Business, Guangdong University of Foreign Studies, Guangzhou, China.

Front Public Health ; 9: 675801, 2021.

Article em En | MEDLINE | ID: mdl-33898386

Assuntos

COVID-19; Aprendizado Profundo; Turismo; Algoritmos; China; Humanos

Palavras-chave

COVID-19 era; backpropagation neural network; deep learning; quantum genetic algorithm; quantum particle swarm optimization algorithm; quantum step fruit fly optimization algorithm

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: Asia Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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