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    • 3. 发明申请
    • PREDICTING FINANCIAL STATUS OF A PROJECT
    • 预测项目财务状况
    • US20120095800A1
    • 2012-04-19
    • US12905469
    • 2010-10-15
    • SAEED BAGHERIDOUGLAS C. BUNCHTHERESA E. ELLKRISHNA C. RATAKONDAKATRINA M. REFFETTROSE M. WILLIAMS
    • SAEED BAGHERIDOUGLAS C. BUNCHTHERESA E. ELLKRISHNA C. RATAKONDAKATRINA M. REFFETTROSE M. WILLIAMS
    • G06Q10/00
    • G06Q10/06313
    • A computer implemented method, system, and/or computer program product predicts the profitability of a current project. Historical data from the current project represents profit data points at predetermined intervals of time during the current project. If a linear regression model of the historical data does not adequately describe the historical data, then a polynomial regression model to describe the historical data is generated. If the polynomial model does not adequately describe the historical data, then another project that is similar to the current project is located. This other project has its own set of historical data. If the historical data from the other project fits the polynomial regression model created from the historical data of the current project, then the polynomial regression model is trusted to accurately predict the profitability of the current project, even though the current project's historical data did not adequately fit the polynomial regression model.
    • 计算机实现的方法,系统和/或计算机程序产品预测了当前项目的盈利能力。 当前项目的历史数据在当前项目中以预定的时间间隔表示利润数据点。 如果历史数据的线性回归模型没有充分描述历史数据,则生成描述历史数据的多项式回归模型。 如果多项式模型没有充分描述历史数据,则定位与当前项目类似的另一个项目。 这个另外一个项目有自己的一套历史数据。 如果其他项目的历史数据符合从当前项目历史数据创建的多项式回归模型,则可信赖多项式回归模型,以准确预测当前项目的盈利能力,即使当前项目的历史数据没有充分 拟合多项式回归模型。