Process for performing fuzzy procedures in processing devices, corresponding processing device and computer program product
    1.
    发明申请
    Process for performing fuzzy procedures in processing devices, corresponding processing device and computer program product 有权
    在处理设备,相应的处理设备和计算机程序产品中执行模糊程序的过程

    公开(公告)号:US20050086190A1

    公开(公告)日:2005-04-21

    申请号:US10931266

    申请日:2004-08-30

    CPC classification number: G06N7/04

    Abstract: A method and related system for performing fuzzy procedures in processing devices. The method provides for calculating a degree of activation of a fuzzy proposition represented by input values having a fuzzy set associated to a triangular or trapezoidal membership function. The membership function is defined by a defined range of the input values and by an abscissa of the maximum value assumed by said membership. The method includes storing solve values corresponding to the range of definition and to the abscissa of the maximum value. The degree of activation is calculated as a function of the stored solve values, and storing of solve values includes storing the values measured on the abscissa and further at least one value measured on the ordinate corresponding to the membership function.

    Abstract translation: 一种用于在处理设备中执行模糊过程的方法和相关系统。 该方法提供计算由具有与三角形或梯形隶属函数相关联的模糊集的输入值表示的模糊命题的激活程度。 隶属函数由输入值的定义范围和由所述成员假设的最大值的横坐标定义。 该方法包括存储与定义范围对应的求解值和最大值的横坐标。 根据存储的求解值来计算激活程度,并且求解值的存储包括存储在横坐标上测量的值以及进一步在与隶属函数对应的纵坐标上测量的值。

    Hardware device for genetic algorithms
    3.
    发明申请
    Hardware device for genetic algorithms 审中-公开
    遗传算法的硬件设备

    公开(公告)号:US20070094161A1

    公开(公告)日:2007-04-26

    申请号:US11190744

    申请日:2005-07-27

    CPC classification number: G06N3/123 B82Y10/00

    Abstract: A hardware device is for performing crossover and mutation operations based upon a genetic algorithm. The hardware device may include a random or pseudo-random number generator, and a crossover block, conditioned with a random crossover index, for generating output crossover bit-strings from current bit-strings. The device may also include a mutation block, conditioned with a random mutation index, for generating output bit-strings by switching at least one bit of each input bit-string pointed to by the mutation index. A memory may temporarily store the current bit-strings and the output bit-strings. In addition, the hardware device may include a control unit, interfaced with the random number generator, the crossover block, the mutation block and the memory and managing their functioning by generating respective control signals therefor.

    Abstract translation: 硬件设备用于基于遗传算法执行交叉和变异操作。 硬件设备可以包括随机或伪随机数生成器,以及用随机交叉索引调节的交叉块,用于从当前位串生成输出交叉位串。 该设备还可以包括利用随机突变索引调节的突变块,用于通过切换由突变索引指向的每个输入位串的至少一位来产生输出位串。 存储器可以临时存储当前位串和输出位串。 此外,硬件设备可以包括与随机数生成器接口的控制单元,交叉块,变异块和存储器,并通过产生相应的控制信号来管理它们的功能。

    Process for performing fuzzy procedures in processing devices, corresponding processing device and computer program product
    4.
    发明授权
    Process for performing fuzzy procedures in processing devices, corresponding processing device and computer program product 有权
    在处理设备,相应的处理设备和计算机程序产品中执行模糊程序的过程

    公开(公告)号:US07167845B2

    公开(公告)日:2007-01-23

    申请号:US10931266

    申请日:2004-08-30

    CPC classification number: G06N7/04

    Abstract: A method and related system for performing fuzzy procedures in processing devices. The method provides for calculating a degree of activation of a fuzzy proposition represented by input values having a fuzzy set associated to a triangular or trapezoidal membership function. The membership function is defined by a defined range of the input values and by an abscissa of the maximum value assumed by said membership. The method includes storing solve values corresponding to the range of definition and to the abscissa of the maximum value. The degree of activation is calculated as a function of the stored solve values, and storing of solve values includes storing the values measured on the abscissa and further at least one value measured on the ordinate corresponding to the membership function.

    Abstract translation: 一种用于在处理设备中执行模糊过程的方法和相关系统。 该方法提供计算由具有与三角形或梯形隶属函数相关联的模糊集的输入值表示的模糊命题的激活程度。 隶属函数由输入值的定义范围和由所述成员假设的最大值的横坐标定义。 该方法包括存储与定义范围对应的求解值和最大值的横坐标。 根据存储的求解值来计算激活程度,并且求解值的存储包括存储在横坐标上测量的值以及进一步在与隶属函数对应的纵坐标上测量的值。

Patent Agency Ranking