一种基于深度学习的产品数据比对方法及系统

By monitoring product data comparison in real time during the comparison period, performing performance assessments and data quality checks, the problem of delayed updates in deep learning models was solved, achieving efficient and accurate product data comparison and improving system stability and resource utilization.

CN121542671BActive Publication Date: 2026-07-17ARTICLE NUMBERING CENT OF CHINA

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ARTICLE NUMBERING CENT OF CHINA
Filing Date
2025-11-25
Publication Date
2026-07-17

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Abstract

本发明公开了一种基于深度学习的产品数据比对方法及系统,涉及电数字数据处理技术领域。该方法,包括以下步骤:比对性能评估、比对效果优化以及比对结果监测。本发明在比对周期内实时监测待比对平台的产品数据比对情况以进行比对性能判定,从而确定是否进行产品数据新增样本质量判定,若进行产品数据新增样本质量判定,则确定是否进行深度学习模型更新优化,否则进行产品数据样本变化监测,最后对深度学习模型优化后的产品数据比对结果进行持续监测,以对深度学习模型优化的触发进行限制,提高了产品数据比对结果的准确性,解决了现有技术中存在深度学习模型更新滞后导致产品数据比对结果准确性降低的问题。
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