SYNTHESIS AND AUGMENTATION OF TRAINING DATA FOR SUPPLY CHAIN OPTIMIZATION

    公开(公告)号:US20240330743A1

    公开(公告)日:2024-10-03

    申请号:US18129416

    申请日:2023-03-31

    CPC classification number: G06N20/00

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating synthetic training data representing network disruptions. One of the methods includes obtaining data representing one or more first travel time distributions between at the at least two entities in the supply chain network. Synthetic network disruption data is generated including sampling from one or more second travel time distributions corresponding respectively to one or more simulated network disruptions. A second dataset having the synthetic network disruption data is generated, and a network policy agent is trained using the second dataset.

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