Logistics demand prediction using fuzzy support vector regression machine based on Adam optimization
Abstract As the digital economy experiences swift advancements, demand prediction in logistics holds a crucial significance for firms operating in the logistics sector. The primary aim of this research paper is to ascertain the optimal method for forecasting logistics demand based on the logistics d...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2025-02-01
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| Series: | Humanities & Social Sciences Communications |
| Online Access: | https://doi.org/10.1057/s41599-025-04505-8 |
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