充分考虑了可辨识矩阵的特性，提出一种基于类别特征矩阵的决策规则提取算法。
An extracting rules algorithm based on class feature matrix is presented, which has made use of the characteristic of discernibility matrix.
接着对分布约简的可辨识矩阵中等价类的区分关系进行改进，提出一种新的近似约简算法。
Secondly, it introduces an improved algorithm which revises the discernibility relation of similarity sets on the basis of the Discernibility Matrix of distribution reduction.
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。
The paper puts forward a method of discretization of continuous properties based on discernibility matrix and revises the discrete result by average mutual information.
提出了三种改进的属性约简算法：改进的代数集合算法、重要度加权平均算法和改进的可辨识矩阵算法。
And three modified attribute reduction algorithms are presented, including modified algebraic algorithm, weighed sum of attribute significance algorithm and modified discernible matrix algorithm.
基于粗糙集理论的不完备数据分析方法，以可辨识矩阵作为算法的基础，提出了一种改进的不完备数据分析方法。
Based on an incomplete data analysis method of the rough set theory and the distinguish matrix, bring forward an improved ROUSTIDA algorithm.
给出了数据约简方法，包括建立RS知识模型、RS决策逻辑表示、确定辨识矩阵、计算其核心、进行属性归约、规则形成等内容。
Information reduction method is given, in which includes RS knowledge modeling, RS decision logic expression, distinction matrix making, cores calculation, attributes reduction, rules generation, etc.
分析了如何利用测量数据构造矩阵束并进行电力系统振荡模态辨识的方法。
Method of power system oscillation mode identification utilizing matrix pencil constructed from sampled data is presented.
本文提出一种微分运算矩阵法，通过切比雪夫级数和最小二乘法辨识线性分布参数系统的参数。
In this paper, a method of operational matrix of differentiation is introduced in the identification of coefficients of linear distributed system by using Chebyshev series and least squares.
子空间系统辨识方法确定系统的阶次是由可观测矩阵的非零奇异值来决定。
The system order is decided by non-zerosingular values of the observation matrix in the subspace state space systemidentification method.
提出一种基于关联矩阵的网络拓扑辨识方法。
Based on incidence matrix, a new method was developed for network topology identification.
提出了基于关联矩阵的电网拓扑辨识算法。
An algorithm of topology identification based on incidence matrix for power networks is presented.
该算法只需在线辨识一个参数，不必求逆矩阵，极大地减少了计算量。
Only one parameter in the algorithm needs identifying on line and the inverse matrix needs not to be computed, which reduces amounts of computation greatly.
融合预报协方差矩阵的自适应调整和状态空间鲁棒性估计，给出辨识戴维南等值参数的新算法。
Based on the robust estimation in the state-space and the adaptive modification of prediction covariance matrix, a new algorithm was proposed to track Thevenin equivalent parameters.
本文给出这类系统的参数递推辨识算法，克服了迭代算法不能在线运行、需反复矩阵求逆的不足。
This paper presents a recursive parameter identification algorithm for the system. Compared with the iterative algorithm, it can avoid the matrix inversion and can be operated on-line.
第三，着重研究了运动车辆跟踪方法，通过建立目标运动状态参数矩阵来辨识目标的遮挡问题。
Thirdly, we put emphasis on the research of moving vehicle tracking method; by building up the matrix of moving status of target we can solve the problem of occupation.
近似同步法还提供了一个用基于系统辨识的矩阵反演定理导出的误差校正公式，它能消除近似同步采样造成的原始误差。
ASM also provides an error correction formula deduced from matrix inversion theorem to clear up the error originated from approximate synchronous sampling.
利用假币辨识向量集，引入搜索矩阵，给出一种逐列相加合并的算法，解决了单假币辨识的完全非适应算法问题。
Utilizing certain sets ofm-dimensional vectors and introducing search Matrix, this paper designs an arithmetic that adds and merges row by row at search Matrices.
采用系统辨识的最小二乘法的改进算法，确定了一种用模糊关系矩阵表示电力变压器故障诊断模型。
According to the modified least square algorithm of system identification technique, a diagnostic model of power transformer fault is determined and described by fuzzy relation matrix.
本文采用频响函数矩阵求逆法，辨识了立式机组动态力的幅值谱。
By using inverse matrix of frequency response function in this paper, the spectrum of dynamic forces acting on the set has been identified.
在研究协方差矩阵特性的基础上，给出一种最小二乘辨识系统的递阶算法。
After inspecting the properties of the covariance matrix, a recursive method of system parameter estimation is derived upon LSE.
提出一种基于关联矩阵的网络拓扑辨识方法。
Research of Association Rules Mining Based on Cluster and Matrix;
根据提出的约束条件，采取逐级构造杆组邻接矩阵方法，求解杆组间的可行连接方式，并同步辨识同构体，从而获取全R副杆组间的连接关系的杆组邻接矩阵。
The connection forms of all R joints of the Assur groups in the assembly forms are permutated step by step following the proposed connection constrains and isomorphism is detected in the process.
提出一种基于关联矩阵的网络拓扑辨识方法。
Method of collaboration customer selection based on fuzzy clustering and incidence matrix;
提出一种基于关联矩阵的网络拓扑辨识方法。
Method of collaboration customer selection based on fuzzy clustering and incidence matrix;
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