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规则提取     
相关语句
  rule extraction
    GENERAL AND INCREMENTAL ALGORITHMS OF RULE EXTRACTION BASED ON CONCEPT LATTICE
    概念格上规则提取的一般算法与渐进式算法
短句来源
    Convergent Network Approach for Rule Extraction in KDD and Its Applications
    KDD中规则提取的收敛网络方法及其应用
短句来源
    Rule Extraction from Neural Networks and Its Application inRecognition of Specific Bands
    神经网络规则提取及其在特征带识别中的应用
短句来源
    Matrix Computation for Assignment Reduction and Rule Extraction in Incomplete Information Systems
    不完备信息系统分配约简与规则提取的矩阵算法
短句来源
    A New Method for Fuzzy Rule Extraction
    一种新的模糊规则提取方法
短句来源
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  rules extraction
    AN APPROACH TO FUZZY RULES EXTRACTION OF NEURAL NETWORKS
    神经网络的模糊规则提取
短句来源
    Decision-Tree-based Missing Data Filling and Rules Extraction in Incomplete Decision Table
    基于决策树的不完全决策表的数据补充及规则提取
短句来源
    Rules Extraction Based on Neural Networks and Rough Set Theory: A Survey
    基于粗集理论与神经网络技术规则提取的研究
短句来源
    VPRS Model Approach to Fault Feature Selection and Diagnostic Rules Extraction
    故障特征选择与诊断规则提取的VPRS模型方法
短句来源
    An Algorithm for Classification Rules Extraction Based on Rough Set Theory
    一种基于粗糙集理论的分类规则提取算法
短句来源
更多       
  rule extracting
    Classification rule extracting strategy based on decision system with ordered attributes
    一种基于有序属性决策系统分类规则提取策略
短句来源
    Comparing with general methods to acquire fuzzy if-then rules,such as C-means and the subtractive clustering algorithm, a fuzzy neural network model for identifying 11 kinds of mineral waters by its taste signals is proposed. In the model,a classification rule extracting algorithm based on discretization methods in rough sets is developed to extract fewer but robust classification rules,which are ease to be translated to fuzzy if-then rules to construct a fuzzy neural network system.
    针对C-means聚类算法和减法聚类算法的不足,提出了一种模糊神经网络味觉信号识别系统模型,该模型利用粗糙集的离散化算法和规则提取算法获得数量较少的分类规则,将这些分类规则转化为模糊IF-THEN规则,进而通过这些模糊IF-THEN规则确定网络结构。
短句来源
  rule acquisition
    Rule acquisition of consistent decision table
    协调决策表的规则提取
短句来源
    This thesis mainly analyses and compares several construct algorithms for concept lattice, and study decision rule acquisition based on concept lattice, meanwhile some significant results are abtained.
    本文分析和比较了几种概念格建格算法,并研究了基于概念格的决策规则提取,取得了一些有意义的结果。
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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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  rules extraction
Rules extraction in short memory time series using genetic algorithms
      
A generic fuzzy aggregation operator: rules extraction from and insertion into artificial neural networks
      
A Dual-Objective Evolutionary Algorithm for Rules Extraction in Data Mining
      
Association rules extraction between attributes based on the above mentioned classification scheme.
      
Based on rough set theory many algorithms for rules extraction from data have been proposed.
      
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  rule acquisition
With the new definition of approximation to an object set and the concept of attribute value pair, rough-sets-based methodology for certain rule acquisition in an incomplete information system is developed.
      
Rough sets theory has been employed for diagnostic rule acquisition of rotating machinery with consideration of conflicting objects of decision table.
      
Rule acquisition is guided by the constraints of physiological process models represented in the system.
      
An optional activity in this phase is Business rule acquisition.
      
An important source for the rule acquisition was the old system.
      
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