属性简约,Attributes reduction
1)Attributes reduction属性简约
1.Two real world databases are tested, showing the validity of the entropy based attributes reduction algorithms.本文定义了四种条件熵,并在此基础上提出了四种基于熵的方法,以用于粗糙集数据分析中的属性简约
2)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
英文短句/例句

1.The Pansystems View on System's Reduction and Attibute Reduction of Characteristic Relation系统约简的泛系观与特征关系的属性约简
2.One method of new attribute reduction based on discretization of continuous attributes一种新的基于连续属性离散化的属性约简方法
3.Study on Searching Algorithm for Attribute Reduction of Rough Sets Based on Core Attributes一种基于属性核的Rough集属性约简搜索算法
4.The attribute reduction and rules are gained.对矩阵进行化简得到属性约简并生成规则。
5.Method of discernibility matrix for attribute reduction based on system entropy基于系统熵的属性约简的简化差别矩阵方法
6.Study and Applications of Attribute Reduction Algorithms on Rough Sets;Rough Sets的属性约简算法研究及应用
7.The Research of Attribute Reduction Algorithm Based on Rough Set Theory;基于粗糙集理论的属性约简算法研究
8.Research on Algorithm of Attribute Reduction Based on Rough Set;基于Rough Set的属性约简算法研究
9.Study on Attribute Redution Based on Rough Sets and Its Application;基于粗糙集的属性约简及其应用研究
10.Rough Set Attribute Reduction Algorithm Based on Genetic Algorithm;基于遗传算法的粗糙集属性约简研究
11.Research and Implement for Attribute Reduction Based on Rough Set;基于粗集的属性约简方法研究与实现
12.Research on Incremental Attribute Reduction Based on Rough Set;基于粗集理论的增量式属性约简研究
13.Research of Attribute Reduction Based on Binary Discernable Matrix;基于二进制可辨矩阵的属性约简研究
14.An Relationship of Degree Based Algorithm For Attribute Reduction;基于关联度的粗糙集属性约简新方法
15.Some Research Advancement of Attribute Reduction Algorithms for Decision Tables;决策表属性约简算法研究的若干进展
16.Analysis of Attribute Reduced Algorithm Based on Rough Set Theory;基于Rough集的属性约简的算法分析
17.An Improved Attribute Reduction Algorithm Based on Rough Set Theory;一种基于粗糙集的属性约简算法改进
18.Reduction of Rough Sets Attributes Based on RNF Networks;基于RBF网络的粗糙集属性约简策略
相关短句/例句

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
3)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。
4)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
5)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。
6)attributes reduction属性约简
1.A method for attributes reduction based on scan vector;基于扫描向量的属性约简方法
2.An Extending Method and Attributes Reduction of Rough Set Theory Based on Nearness Relation;一种基于相近关系的粗集理论扩展方法及属性约简
3.Extended Model and Attributes Reduction of Rough Set to Incomplete Information Systems;基于粗糙集的不完备信息系统的模型扩展和属性约简
延伸阅读

通用简约梯度法分子式:CAS号:性质:将简约梯度法推广到能同时容纳非线性目标函数和非线性约束的方法。此方法本质上使用线性或线性化约束,定义一些与某些约束正交的新变量,并把梯度变换到这个新的基底。