Deep Learning Combinatorial Models for Intelligent Supply Chain Demand Forecasting.

Ma, Xiaoya; Li, Mengxiu; Tong, Jin; Feng, Xiaying

Ma, Xiaoya; Li, Mengxiu; Tong, Jin; Feng, Xiaying.

Afiliación

Ma X; Department of Logistics Management and Engineering, Nanning Normal University, Nanninng 530023, China.
Li M; Department of Economics and Management, Nanning Normal University, Nanninng 530001, China.
Tong J; Department of Logistics Management and Engineering, Nanning Normal University, Nanninng 530023, China.
Feng X; Department of Economics and Management, Nanning Normal University, Nanninng 530001, China.

Biomimetics (Basel) ; 8(3)2023 Jul 15.

Article en En | MEDLINE | ID: mdl-37504200

Palabras clave

SARIMA-LSTM-BP model; deep learning; demand forecasting; intelligent supply chain; new energy vehicles; prediction modeling

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Biomimetics (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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