Deep Learning Combinatorial Models for Intelligent Supply Chain Demand Forecasting

Deep Learning Combinatorial Models for Intelligent Supply Chain Demand Forecasting

Low-carbon and environmentally friendly living boosted the market demand for new energy vehicles and promoted the development of the new energy vehicle industry. Accurate demand forecasting can provide an important decision-making basis for new energy vehicle enterprises, which is beneficial to the...

Full description

Bibliographic Details
Main Authors: Xiaoya Ma, Mengxiu Li, Jin Tong, Xiaying Feng
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Biomimetics
Subjects:
demand forecasting
prediction modeling
deep learning
intelligent supply chain
new energy vehicles
SARIMA-LSTM-BP model
Online Access:https://www.mdpi.com/2313-7673/8/3/312

Internet

https://www.mdpi.com/2313-7673/8/3/312

Similar Items