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Logistics Optimization Strategy Based on Deep Neural Framework
We propose a logistics optimization method based on improved graph convolutional networks to address the current problem of low product delivery rate and untimely product delivery during the peak period of e-commerce activities. Our method can learn excellent planning strategies from previous data a...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9192233/ https://www.ncbi.nlm.nih.gov/pubmed/35707201 http://dx.doi.org/10.1155/2022/8367155 |