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    • 2. 发明申请
    • BENCHMARKING DIAGNOSTIC ALGORITHMS
    • 基准诊断算法
    • US20090265134A1
    • 2009-10-22
    • US12104039
    • 2008-04-16
    • Lokesh SambasivanJoydeb MukherjeeDinkar Mylaraswamy
    • Lokesh SambasivanJoydeb MukherjeeDinkar Mylaraswamy
    • G06F17/18
    • G05B23/0297
    • A method for benchmarking diagnostic algorithms for a particular application is provided. The diagnostic algorithms are rank ordered based on a specified criterion so as to weed out weak algorithms, selecting more robust algorithms, defined in some sense, for deployment. This is realized by evaluating various parameters subsequently mentioned. A normalized product entropy ratio parameter is obtained. A performance parameter vector is fixed to define a plurality of sensitivity parameters including a plurality of threshold parameters and a plurality of data parameters. The plurality of threshold parameters and the plurality of data parameters are perturbed to obtain a threshold sensitivity parameter and a data sensitivity parameter.
    • 提供了一种用于针对特定应用的基准诊断算法的方法。 诊断算法基于指定的标准进行排序,从而消除弱算法,选择更有力的算法,在某种意义上定义用于部署。 这是通过评估随后提到的各种参数来实现的。 得到归一化的产品熵比参数。 固定性能参数向量以定义多个灵敏度参数,包括多个阈值参数和多个数据参数。 扰动多个阈值参数和多个数据参数以获得阈值灵敏度参数和数据灵敏度参数。
    • 5. 发明授权
    • Benchmarking diagnostic algorithms
    • 基准诊断算法
    • US07991580B2
    • 2011-08-02
    • US12104039
    • 2008-04-16
    • Lokesh SambasivanJoydeb MukherjeeDinkar Mylaraswamy
    • Lokesh SambasivanJoydeb MukherjeeDinkar Mylaraswamy
    • G06F17/18
    • G05B23/0297
    • A method for benchmarking diagnostic algorithms for a particular application is provided. The diagnostic algorithms are rank ordered based on a specified criterion so as to weed out weak algorithms, selecting more robust algorithms, defined in some sense, for deployment. This is realized by evaluating various parameters subsequently mentioned. A normalized product entropy ratio parameter is obtained. A performance parameter vector is fixed to define a plurality of sensitivity parameters including a plurality of threshold parameters and a plurality of data parameters. The plurality of threshold parameters and the plurality of data parameters are perturbed to obtain a threshold sensitivity parameter and a data sensitivity parameter.
    • 提供了一种用于针对特定应用的基准诊断算法的方法。 诊断算法基于指定的标准进行排序,从而消除弱算法,选择更有力的算法,在某种意义上定义用于部署。 这是通过评估随后提到的各种参数来实现的。 得到归一化的产品熵比参数。 固定性能参数向量以定义多个灵敏度参数,包括多个阈值参数和多个数据参数。 扰动多个阈值参数和多个数据参数以获得阈值灵敏度参数和数据灵敏度参数。