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Multiweight Cross-Multimedia Logistics Optimal Path Exploration by Integrating High-Dimensional Deep Learning.
- 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]
- Subjects :
- DEEP learning
MACHINE learning
VISUAL learning
LOGISTICS
OPERATIONS management
Subjects
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