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1)  attribute reduction model
属性约简模型
2)  numerical attribute reduction
数值型属性约简
1.
According to the characteristic of fault datas, numerical attribute reduction algorithms based on neighborhood rough approximation are adopted to carry out fast and highly efficient faults diagnosis by uniting rough set with Support Vector Machine(SVM).
该文根据故障数据的特点,将粗糙集理论与支持向量机(SVM)相结合,采用基于邻域粗糙逼近的数值型属性约简算法进行快速高效的故障诊断,避免经典粗糙集理论中离散化误差的影响,缩减数据存储空间,降低SVM训练模型的复杂度,提高训练速度。
3)  attribute reduction
属性约简
1.
A attribute reduction algorithm based on attribute dependence;
一种基于属性依赖的属性约简算法
2.
An efficient attribute reduction algorithm by modificatory discernibility matrix;
基于修正差别矩阵的高效属性约简算法
3.
An attribute reduction algorithm of rough set based on discernable matrix;
粗糙集属性约简的完备算法
4)  Reduction of Attributes
属性约简
1.
A Study of Reduction of Attributes and Set Covering Problem;
关于属性约简和集合覆盖问题的探讨
2.
An Algorithm to Choose the Reduction of Attributes in Decision Analysis;
决策分析中属性约简的择优算法
3.
With the discernibility degree as heuristic information,a heuristic algorithm based on discernibility degree for reduction of attributes is presented,and the time complexity of this algorithm is analyzed.
属性约简是粗糙集理论研究中的核心内容之一,现已证明寻找最小约简是NP-hard问题。
5)  attribution reduction
属性约简
1.
Variable precision attribution reduction based on parallel artificial immune algorithm;
基于并行人工免疫算法的变精度属性约简
2.
Quickly attribution reduction algorithm of information system;
一种信息系统的快速属性约简算法
3.
Novel attribution reduction algorithm of information entropy
一种新的信息熵属性约简算法
6)  reduction of attribute
属性约简
1.
Condition information quantitybased reduction of attribute in consistent decision tables;
基于条件信息量一致决策表的属性约简
2.
The principle of attribute reduction is introduced,and the reduction of attribute is presented based on conditional information quantity,all serviceable logging attributes are optimally selected.
介绍属性约简的原理,在此基础上提出了基于条件信息量的数据约简方法,优选出有用的属性,并通过实例表明该方法是可行和有效的。
3.
Reduction of attribute is one of the important topics in the search of rough set theory.
指出现有粗糙集属性约简算法的不足,考虑并行遗传算法在处理大型数据库上的特有优势,将粗糙熵作为粗糙集不确定性的度量,给出一种求解信息系统约简集的三群体并行遗传算法。
补充资料:数值
1.一个量用数目表示出来的多少,叫做这个量的数值。例如"3克"的"3","4秒"的"4"。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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