该算法把样本聚类和特征学习融合到一个端到端的网络框架中，提升模型的跨域能力。该模型在Market训练，DukeMTMC上测试能达到82.0%的准确率，在DukeMTMC上训练，Market上测试能达到92.2%的准确率。
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车辆路由规划问题是智能供应链非常重要的一个研究方向，通过运筹算法对实际业务场景进行数据建模并求解。本项目调用开源求解器内置的启发式解法解决MDVRP问题
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使用机器学习模型预测新产品上市后一段时间后的销售情况，包括数据处理、模型训练和预测模块。新品销量预测可以辅助供应链中生产计划、库存管理和车辆调度等环节进行决策。
Updated 2 years ago Python
Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》
