英汉例句

• secondly, we investigate the method of discernibility matrix and function.

  其次，我们对差别矩阵差别函数的方法进行了研究。

• it proposes two data reduction models based on discernibility matrix and data analysis separately, improves the discernibility matrix algorithm and made the comparison between the two models.

  提出了基于分辨矩阵和数据分析的两种数据约简模型，并对分辨矩阵算法做了改进，最后对这两种模型进行了比较。

• the paper puts forward a method of discretization of continuous properties based on discernibility matrix and revises the discrete result by average mutual information.

  本文基于可辨识矩阵提出一种连续属性离散化的方法，并利用平均互信息量对离散化结果进行修正。

• a novel rough set-based method followed by establishing a mix discernibility matrix is introduced for intrusion detection, and choose c4.

  利用源信号的统计独立性提出了一种由混合信号和分离信号估计混合矩阵的算法，避免了一次矩阵求逆运算。

• the algorithm for attribute reduction based on discernibility matrix needs a lot of memory space, and many elements of discernibility matrix are not unnecessary for reduction.

  针对分类模型在构造过程中存在冗余属性的特点，提出了一种基于粗糙集理论的分类预处理技术，利用其理论的属性约简与分辨矩阵得到属性的约简集。

• in order to overcome the problem, a new method of data discretization based on candidate cuts discernibility matrix is presented.

  针对这一问题，提出了一种基于候选断点区分矩阵的数据离散化算法。

• in this paper, a construction method of discernibility matrix for both consistent information systems and inconsistent information systems is presented.

  提出了一种适于相容和不相容两种形式信息系统差别矩阵的统一构造方法，证明了用该差别矩阵求核的正确性。

• based on discernibility matrix in rough set, discernibility object pair set is defined first.

  通过利用粗糙集中差别矩阵的思想，引入 区分对象对集的概念。

• in this paper, application about discernibility matrix arithmetic and horafa arithmetic based on the rough set theory is introduced.

  简要介绍了粗糙集理论中区分矩阵算法和horafa算法在知识约简中的应用。

• compared with discernibility matrix algorithm, this algorithm greatly reduces running time and memory space.

  相对于区分矩阵算法，该算法在时间和存储空间花费上都有较大的改善和提高。

• heuristic knowledge reduction approach based on discernibility matrix and strong compressible set is proposed.

  提出了基于区分矩阵与强等价集的启发式知识约简方法。

• the definitions of srs and two theorems of computing the feature weights based on discernibility matrix are presented.

  给出了相似粗糙集的基本定义，以及利用该方法基于差别矩阵进行特征权值计算的两个定理。

• at the second part of the thesis, an algorithm of attribute reduction based on binary discernibility matrix is presented.

  其次提出了一种基于二进制差别矩阵的属性约简算法；

• an algorithm of compute core is provided. an example illustrates that the elements of discernibility matrix in this algorithm reduce and the efficiency of computing core is improved.

  在此基础上给出一个求核算法，通过实例证明，由于减少了差别矩阵中的元素，因此算法的求核效率得到较大提高。

• discernibility matrix and discernibility function are a powerful tool seeking nuclear attributes and attribute reduction.

  区分矩阵和区分函数是求核和约简的有力工具。

• in incomplete information system, objects of the tolerance class and maximal consistent block in the attribute reduction algorithm based on discernibility matrix are uncertain.

  在不完备信息系统基于差别矩阵的属性约简算法中，相容类和最大相容类中的对象具有不确定性。

• in order to solve updating core attributes of incremental condition attribute system, an equivalent binary discernibility matrix is proposed based on in-depth study firstly.

  为解决信息系统在条件属性动态增加情况下的核属性更新问题，通过深入分析得到了一种二进制区分矩阵的等价表示方法；