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规则提取     
相关语句
  rule extraction
    The Fuzzy Inference Rule Extraction and Attribute Reduction Based on AFS Theory and Closeness Degrees
    基于AFS理论和贴近度的模糊推理规则提取及属性约简
短句来源
    Rough set theory can effectively be applied in attribute reduction and rule extraction. To resolve the problems of the reduction of input variables and the difficulty of fuzzy rule extraction etc in the fuzzy system designing process,a method to design fuzzy system is put forward by combining rough sets with fuzzy sets together.
    利用粗糙集理论可以高效地进行属性约简和规则提取,并且在规则提取过程中能自动的生成各规则的强度,针对模糊系统设计过程中输入变量的约简、模糊规则难以提取等问题,将粗糙集理论与模糊集理论相结合,提出了一种基于粗集设计模糊系统的方法,并给出了具体的设计过程;
短句来源
    Concept lattice is a hierarchical structure of concepts defined by a binary relation, as a tool for data analysis and rule extraction, which has inspired intensive research in both theory and applications.
    概念格是根据二元关系建立起来的一种概念层次结构,是进行数据分析和规则提取的有效工具,已经在理论和应用两方面有了广泛的研究。
短句来源
  excavating rules
    Study on Excavating Rules and R-FNN Based on Rough Set Theory
    基于Rough Set的规则提取与粗—模糊神经网络研究
短句来源
    Base on the relation of Rough set and probability theory, we debate some results on entropy, and then get a new algorithm of excavating rules.
    基于粗集理论与概率论的联系,讨论了粗集与信息熵的关系,并得出了一种基于熵的规则提取算法。
短句来源
    A new description about the relative importance of knowledge and a new method of rules reduction are obtained, and the method LEM1 on excavating rules from database is generalized.
    在此基础上 ,对知识的相对重要性进行了描述并得到了一种简化决策规则的新方法 . 利用这种知识的依赖性度量 ,可对规则提取算法LEM 1作一个有效的推广
短句来源
  “规则提取”译为未确定词的双语例句
    Extraction Method of Control Rules Based on Rough Set Theory
    基于粗糙集理论的控制规则提取方法
短句来源
    A Method of Inducing Decision Rules Based on Rough Set and Inclusion Theory
    基于粗糙集和包含度理论的决策规则提取方法
短句来源
    An Improved Algorithm of Attribute Reduction in Rough Set
    基于粗集理论的一种规则提取方法
短句来源
    Furthermore, let the membership function as the base, we put . forward another algorithm-LBR and after the comparison of LBR and LEM1 which advanced by Kansas University in American, we get an ameliorative algorithm named LEM3. LEM3 is the variable-precision modal of LEM1 factually and the notion of variable-precision can be founded on the measurement of dependent degree.
    进而,以粗集理论中知识类对于一给定概念的上、下逼近隶属度为理论基础,提出了规则提取算法LBR,在将该算法与美国Kansas大学提出的算法LEM1进行比较的结论之上,给出了将LEM1改进后算法LEM3,这实际上是一种变精度的LEM1。
短句来源
    In chapter 4, based on rough membership value a vital algorithm of getting rules is presented, and the practical example shows that this algorithm has a content result. This has showed an aspect of the practice of the rough sets theory.
    第四章,基于粗糙集隶属度,提出了一个规则提取算法,并用实例演示了该算法可以得出满意的结果,展现了粗糙集理论的一个实际应用。
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  rule extraction
A rule extraction tech nique is then applied in order to extract explicit knowledge from the trained neural networks and represent it in the form of fuzzy if-then rules.
      
Our proposed network adapts from an initial analog phase, which has good training behavior, to a discrete phase for automatic rule extraction.
      
First, Radial Basis Function Neural Networks (RBFNN) learning techniques are explored, as is usual in the literature, since the local nature of this paradigm makes it a suitable platform for performing rule extraction.
      
By using support vectors from a learned SVM it is possible in our approach to use any standard Radial Basis Function (RBF) learning technique for the rule extraction, whilst avoiding the overlapping between classes problem.
      
Linguistic Rule Extraction From a Simplified RBF Neural Network
      
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