Algorithm of attribute reduction based on attribute frequency function in rough set 基于属性频率函数的粗糙集属性约简算法
Through the study in the data reduction , this paper presents a new reduction algorithm named horafa - svdm and an incremental algorithm of the heuristic optimal reduct finding algorithm of the frequencies function named horafa ? a 本文通过在数据约简方面的研究,提出了对利用属性频率函数的启发式约简算法的改进算法? ? horafa ? svdm算法,以及这个算法的增量版本? ? horafa ? ia算法。
First , the methods and procedures of general three orders nonlinear identification are summarized and the results are frequency functions described by basic and high order spectral density functions and frequency response functions 首先,系统总结了使用一般三阶非线性模型辨识的方法和步骤。得到的结果是用基本的和高阶的谱密度函数以及基本的和高阶的频率响应函数表示的频率函数。
According to the results of the experiment , the paper discusses the question that it takes too much time in the finding reduct when this kind of the algorithm is used in the data set without core . an adaptive model horafa - a is constructed with the heuristic optimal reduct finding algorithm presented in the paper 同时根据实验讨论了该类算法对于无核数据集所存在的需要大量时间求约简的问题,在这个问题的探讨中,本文结合上述利用属性频率函数的启发式约简算法提出了一个可以实现算法自适应的模型? ? horafa ? a 。
频率: frequency; rate函数: function二元频率函数: bivariate frequency function概率频率函数: probability frequency function故障频率函数: failure de ity function; failure density function基带频率函数: baseband frequency function几何频率函数: geometric frequency function绝对频率函数: absolute frequency function累积频率函数: cumulative frequency function联合频率函数: joint frequency function正态频率函数: normal frequency function频率函数;频率因数: frequency function不连续频率函数: discontinuous frequency function产率函数: productivity function反射率函数: reflectivity function概率函数: likelihood function; probability function故障率函数: failure rate function; hazard function失真率函数: distortion rate function斜率函数: slope function幂函数, 功率函数: power function功率函数定律: law of power function介入功率函数: insertion power function径向几率函数: radial probability function累积概率函数: cumulative probability function累计概率函数: cumulative probability function