Forecasting oil consumption with attention-based IndRNN optimized by adaptive differential evolution.

Wu, Binrong; Wang, Lin; Lv, Sheng-Xiang; Zeng, Yu-Rong

Wu, Binrong; Wang, Lin; Lv, Sheng-Xiang; Zeng, Yu-Rong.

Afiliación

Wu B; School of Management, Huazhong University of Science and Technology, 430074 Wuhan, China.
Wang L; School of Management, Huazhong University of Science and Technology, 430074 Wuhan, China.
Lv SX; School of Business Administration, Guangdong University of Finance and Economics, 510320 Guangzhou, China.
Zeng YR; School of Information and Communication Engineering, Hubei University of Economics, 430205 Wuhan, China.

Appl Intell (Dordr) ; 53(5): 5473-5496, 2023.

Article en En | MEDLINE | ID: mdl-35789694

Palabras clave

COVID-19 pandemic; Deep learning; Independent recurrent neural network; Oil consumption forecasting; Online news; Text mining

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Appl Intell (Dordr) Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos

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