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    • 2. 发明申请
    • Method for assessing data worth for analyzing yield rate
    • 评估数据价值分析收益率的方法
    • US20100268501A1
    • 2010-10-21
    • US12458302
    • 2009-07-08
    • Yij Chieh ChuChun Chi ChenYun-Zong TianShih Chang KaoCheng-Hao Chen
    • Yij Chieh ChuChun Chi ChenYun-Zong TianShih Chang KaoCheng-Hao Chen
    • G06F19/00
    • G05B23/0221
    • A method for assessing data worth for analyzing yield rate includes: getting measured data with data points that corresponds to control variables of semiconductor manufacturing; transforming the data points into a distance matrix with matrix distances corresponding to differences of the data points under the control variables; expressing sample differences recorded in the distance matrix by two-dimension vectors and calculating similarity degrees of the two-dimension vectors and the distance matrix so as to take loss information as a conversion error value; calculating discriminant ability of the transformed two-dimension data and expressing the discriminant ability by an error rate of discriminant; and taking the conversion error value and the error rate of discriminant as penalty terms and calculating a quality score corresponding to the measured data. Thereby, before analyzing the yield rate of semiconductor manufacturing, analysts can determine whether data includes information affecting the yield rate based on the quality score.
    • 评估价值分析产出率的数据的方法包括:用与半导体制造控制变量对应的数据点获取测量数据; 将数据点转换成距离矩阵,矩阵距离对应于控制变量下数据点的差; 通过二维向量表示记录在距离矩阵中的样本差异,并计算二维向量和距离矩阵的相似度,以便将损失信息作为转换误差值; 计算变换后的二维数据的判别能力,并用判别式的误差率表示判别能力; 并将判别式的转换误差值和误差率作为惩罚项,并计算与测量数据相对应的质量得分。 因此,在分析半导体制造的成品率之前,分析人员可以根据质量得分确定数据是否包括影响产量率的信息。
    • 3. 发明授权
    • Method for assessing data worth for analyzing yield rate
    • 评估数据价值分析收益率的方法
    • US08265903B2
    • 2012-09-11
    • US12458302
    • 2009-07-08
    • Yij Chieh ChuChun Chi ChenYun-Zong TianShih Chang KaoCheng-Hao Chen
    • Yij Chieh ChuChun Chi ChenYun-Zong TianShih Chang KaoCheng-Hao Chen
    • G06F17/16
    • G05B23/0221
    • A method for assessing data worth for analyzing yield rate includes: getting measured data with data points that corresponds to control variables of semiconductor manufacturing; transforming the data points into a distance matrix with matrix distances corresponding to differences of the data points under the control variables; expressing sample differences recorded in the distance matrix by two-dimension vectors and calculating similarity degrees of the two-dimension vectors and the distance matrix so as to take loss information as a conversion error value; calculating discriminant ability of the transformed two-dimension data and expressing the discriminant ability by an error rate of discriminant; and taking the conversion error value and the error rate of discriminant as penalty terms and calculating a quality score corresponding to the measured data. Thereby, before analyzing the yield rate of semiconductor manufacturing, analysts can determine whether data includes information affecting the yield rate based on the quality score.
    • 评估价值分析产出率的数据的方法包括:用与半导体制造控制变量对应的数据点获取测量数据; 将数据点转换成距离矩阵,矩阵距离对应于控制变量下数据点的差; 通过二维向量表示记录在距离矩阵中的样本差异,并计算二维向量和距离矩阵的相似度,以便将损失信息作为转换误差值; 计算变换后的二维数据的判别能力,并用判别式的误差率表示判别能力; 并将判别式的转换误差值和误差率作为惩罚项,并计算与测量数据相对应的质量得分。 因此,在分析半导体制造的成品率之前,分析人员可以根据质量得分确定数据是否包括影响产量率的信息。