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    • 8. 发明授权
    • System and method for data mining and feature tracking for fab-wide prediction and control
    • 用于晶圆厂预测和控制的数据挖掘和特征跟踪的系统和方法
    • US08406912B2
    • 2013-03-26
    • US12823351
    • 2010-06-25
    • Jui-Long ChenChia-Tong HoPo-Feng TsaiHui-Yun ChaoJong-I Mou
    • Jui-Long ChenChia-Tong HoPo-Feng TsaiHui-Yun ChaoJong-I Mou
    • G06F19/00
    • G05B19/41875G05B2219/32191G05B2219/35082Y02P90/22Y02P90/265
    • System and method for data mining and feature tracking for fab-wide prediction and control are described. One embodiment is a system comprising a database for storing raw wafer manufacturing data; a data mining module for processing the raw wafer manufacturing data to select the best data therefrom in accordance with at least one of a plurality of knowledge-, statistic-, and effect-based processes; and a feature tracking module associated with the data mining module and comprising a self-learning model wherein a sensitivity of the self-learning model is dynamically tuned to meet real-time production circumstances, the feature tracking module receiving the selected data from the data mining module and generating prediction and control data therefrom; wherein the prediction and control data are used to control future processes in the wafer fabrication facility.
    • 描述了用于晶圆厂预测和控制的数据挖掘和特征跟踪的系统和方法。 一个实施例是包括用于存储原始晶片制造数据的数据库的系统; 数据挖掘模块,用于根据多个基于知识,统计和效果的过程中的至少一个来处理原始晶片制造数据以从其中选择最佳数据; 以及与所述数据挖掘模块相关联并且包括自学习模型的特征跟踪模块,其中自学习模型的灵敏度被动态调整以满足实时生产环境,所述特征跟踪模块从所述数据挖掘接收所选择的数据 模块并从其生成预测和控制数据; 其中预测和控制数据用于控制晶片制造设备中的未来工艺。