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...

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Detalles Bibliográficos
Autores principales: Liu, Guangqian, Zhu, Yiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
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

Internet

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

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