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Multiweight Cross-Multimedia Logistics Optimal Path Exploration by Integrating High-Dimensional Deep Learning.

Authors :
Zhang, Huiying
Guo, Jinjin
Sun, Guie
Source :
Advances in Multimedia; 12/8/2021, p1-6, 6p
Publication Year :
2021

Abstract

High-dimensional deep learning has been applied in all walks of life at present, among which the most representative one is the logistics path optimization combining multimedia with high-dimensional deep learning. Using multimedia logistics to explore and operate the best path can make the whole logistics industry get innovation and leap forward. How to use high-dimensional deep learning to conduct visual logistics operation management is an opportunity and a problem facing the whole logistics industry at present. The application of high-dimensional deep learning technology can help logistics enterprises improve their management level, realize intelligent decision-making, and enable accurate prediction. Starting from the total amount of logistics, regional layout, enterprise scale, and high-dimensional deep learning algorithm, this paper analyzes the current situation of China's logistic development through multiweight analysis and explores the best path for multimedia logistics. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16875680
Database :
Complementary Index
Journal :
Advances in Multimedia
Publication Type :
Academic Journal
Accession number :
154008664
Full Text :
https://doi.org/10.1155/2021/1474341