助手标题  
全文文献 工具书 数字 学术定义 翻译助手 学术趋势 更多
查询帮助
意见反馈
   redundancy of attribute 的翻译结果: 查询用时:0.198秒
图标索引 在分类学科中查询
所有学科
更多类别查询

图标索引 历史查询
 

redundancy of attribute
相关语句
  相似匹配句对
     On Linguistic Redundancy
     也谈语言冗余
短句来源
     Redundancy and Translation
     冗余与翻译
短句来源
     On Adaptation to Context of Redundancy
     论冗余现象的语境顺应性
短句来源
     The redundancy of height is improved.
     提高了整个系统高程信息冗余度。
短句来源
     attribute set;
     属性集;
短句来源
查询“redundancy of attribute”译词为用户自定义的双语例句

    我想查看译文中含有:的双语例句
例句
为了更好的帮助您理解掌握查询词或其译词在地道英语中的实际用法,我们为您准备了出自英文原文的大量英语例句,供您参考。
  redundancy of attribute
The apparent redundancy of attribute labels in Figure 3 merely reflects the brevity of the sample data.
      


Inductive retrieval is one of the retrieval methods commonly used in case-based reasoning systems, which is based on ID3. In this article, the relationship between weightiness and redundancy of attributes is demonstrated. A decision tree algorithm is given based on rough set in the point of view of the instances attributes weightiness. It has advantages in computational complexity and in gaining more effective cases retrieval. Key words Case-based reasoning (CBR);Inductive retrieval;Decision...

Inductive retrieval is one of the retrieval methods commonly used in case-based reasoning systems, which is based on ID3. In this article, the relationship between weightiness and redundancy of attributes is demonstrated. A decision tree algorithm is given based on rough set in the point of view of the instances attributes weightiness. It has advantages in computational complexity and in gaining more effective cases retrieval. Key words Case-based reasoning (CBR);Inductive retrieval;Decision tree;Rough set;Weightiness

归纳推理检索是基于事例推理(CBR)中常用的检索方法之一,是基于ID3算法的检索方法。文章在基于事例推理方法的背景下论证了事例的属性的重要性和冗余之间的关系,并在此基础上从属性相对于其属性的重要性角度来构造启发函数。和ID3算法相比较,该算法不但降低了计算复杂性,而且在一定程度上可以消除样本中的噪声,使归纳推理检索方法的检索效率有所提高。

The basic concepts of rough sets are introduced briefly. For rough sets can only deal with discrete data,the discretization of continuous data is the key factor in the rough sets applied in chemical domain,we present a method of Chi-Merge discretization based on entropy of information which combined with the characteristic of rough sets,its generalization is well. In problem of the origin discrimination of olive oil,without any additional prior model assumption,rough sets data analysis can eliminate the redundancy...

The basic concepts of rough sets are introduced briefly. For rough sets can only deal with discrete data,the discretization of continuous data is the key factor in the rough sets applied in chemical domain,we present a method of Chi-Merge discretization based on entropy of information which combined with the characteristic of rough sets,its generalization is well. In problem of the origin discrimination of olive oil,without any additional prior model assumption,rough sets data analysis can eliminate the redundancy of attributes and its value,identify the dependence in the attributes,and we get a collective production rules about the chemical pattern classification system from sample data. When the model of chemical pattern classification is built by these rules,its meaning is very understandable in chemical domain,and the prediction of the model is also well.

简要介绍了粗糙集的基本概念 ,决策系统的约简步骤和分类规则的挖掘原理 ,提出了基于信息熵的数据离散化方法 ,使之充分结合粗糙集特性 ,具有良好的推广性。又以经典的橄榄油产地判别为例 ,采用粗糙集方法 ,无需先验知识 ,不用设定参数 ,即能消除冗余的属性和属性值 ,约简化学系统 ,从样本数据中挖掘出简明直接、易于理解的产生式分类规则 ,构建专业意义明确的化学模式分类模型 ,其预报性能良好 ,效果令人满意。

Fuzzy-ID3 algorithm is a popular and efficient heuristic algorithm infuzzy decision tree induction. Taking Fuzzy-ID3 algorithm as the example, it analyzes the effect of the redundancy of attributes on the generation of fuzzy decision tree, and then proposes an extended version in which the testing attribute is selected based on not only the more mutual information between a candidate attribute and the class but also the less mutual information between a candidate attribute and the selected...

Fuzzy-ID3 algorithm is a popular and efficient heuristic algorithm infuzzy decision tree induction. Taking Fuzzy-ID3 algorithm as the example, it analyzes the effect of the redundancy of attributes on the generation of fuzzy decision tree, and then proposes an extended version in which the testing attribute is selected based on not only the more mutual information between a candidate attribute and the class but also the less mutual information between a candidate attribute and the selected attributes on the same branch. The experimental result indicates that it has advantages over Fuzzy-ID3.

模糊ID3算法是模糊决策树归纳中比较普遍和有效的启发式算法.以模糊ID3算法为例,分析了属性之间的冗余信息对构建模糊决策树的影响,并提出一个扩展算法,要求所选择的测试属性不仅和类的交互信息较大,而且和祖先节点上用过的属性之间的交互信息较小.实验结果表明:扩展算法优于模糊ID3算法.

 
<< 更多相关文摘    
图标索引 相关查询

 


 
CNKI小工具
在英文学术搜索中查有关redundancy of attribute的内容
在知识搜索中查有关redundancy of attribute的内容
在数字搜索中查有关redundancy of attribute的内容
在概念知识元中查有关redundancy of attribute的内容
在学术趋势中查有关redundancy of attribute的内容
 
 

CNKI主页设CNKI翻译助手为主页 | 收藏CNKI翻译助手 | 广告服务 | 英文学术搜索
版权图标  2008 CNKI-中国知网
京ICP证040431号 互联网出版许可证 新出网证(京)字008号
北京市公安局海淀分局 备案号:110 1081725
版权图标 2008中国知网(cnki) 中国学术期刊(光盘版)电子杂志社