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集合匹配
相关语句
  set matching
     The fuzzy set matching degree defiantion and the fuzzy rule matching degree definition were used to develop the model and the design steps.
     对于模糊控制器的模型 ,定义了模糊集合匹配度和模糊规则匹配度 ,在此基础上给出了基于模式匹配的模糊控制算法的模型和设计步骤。
短句来源
     A novel mechanism of information filtering based on proxy server is presented, using an efficient string matching method, Key Phrase Set Matching Method(KPSMM), which has higher performance than traditional string matching method.
     为了提高信息过滤的性能 ,还提出了一种高效的关键词集合匹配方法 (KPSMM)。 KPSMM可以实现关键词集合的高效过滤 ,其性能比传统的字符串过滤方式有较大提高。
短句来源
  “集合匹配”译为未确定词的双语例句
     Accordingly, we give a novel intelligent help model in Web applications based on QMA algorithm , and make an experiment for a e-learning system.
     有鉴于此,我们提出了一个基于特征词集合匹配算法的Web应用中的智能帮助模型,并随后在一个e-learning系统上做了实验。
短句来源
     The experiment shows that the QMA based intelligent help model for Web applications can well solve the problem of web based Q/A.
     实验结果表明:我们所设计的基于特征词集合匹配算法的Web应用中的智能帮助模型能够较好的解决网络环境下的系统帮助问题
短句来源
  相似匹配句对
     The set
     集合(英文)
短句来源
     Mix and Match
     混合和匹配
短句来源
     The quick string set pattern match algorithm based on sorted tree
     基于排序树的字符串集合快速匹配算法
短句来源
     Ring of Set Liu wenqi (Kunming University of science & Technology,Kunming,650093)
     集合
短句来源
     Matching layer of the transducer
     换能器的匹配
短句来源
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  set matching
Distribution of parallel execution times for Exact Set Matching on 16 processors.
      
Exact set matching and repeat finding procedures for random data have also been implemented and performed on a simulation of a 16 processor DST.
      
Efficient and reliable template set matching for 3D object recognition.
      
In the exact set matching problem there is a set S consisting of r patterns to be matched against a text t of length n.
      
Some more assumptions have been made along the way from probabilistic inference to fuzzy-set matching.
      
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A shape recognition system is presented in this paper. It can be used to recognize the two-dimensional overlapping objects with some geometric transformation, such as translation, rotation and mirror-symmetry. A complete relationgraph model consisting of local feature points is constructed in the system foreach object and scene. The recognition can be completed by two-order HOPFIELD neural network to find the maximum matching complete subgraph setbetween the relation graph of the scene and the relation graph...

A shape recognition system is presented in this paper. It can be used to recognize the two-dimensional overlapping objects with some geometric transformation, such as translation, rotation and mirror-symmetry. A complete relationgraph model consisting of local feature points is constructed in the system foreach object and scene. The recognition can be completed by two-order HOPFIELD neural network to find the maximum matching complete subgraph setbetween the relation graph of the scene and the relation graph of the objecttemplates, with minimum or minimal matching cost, and the system can alsoquickly estirpate the location of objects in scene.

本文提出了一个二维重叠物体的形状识别系统,允许物体在场景中有平移、旋转及对称变换.系统将物体形状描述为由局部特性点组成的完全关系图,用二阶HOPFIEI.D神经网络完成场景与模板的匹配,寻找出场景完全关系图中与模板完全关系图集合匹配的最小或极小匹配代价的最大完全子图集,并能快速定位物体.

We establish a reduction calculus based on set terms and make a discussion on how to store setterms in deductive database. In the end, we propose a technique of rewriting EDB set table in compiling time sothat the matching of set terms can be performed by ordinary matching alogrithms.

本文首先讨论了引入集合的意义,然后建立了一种基于集合项的归约演算,并且对集合项的存储和含集合符号的逻辑数据语言的计算进行了一些探讨。本文所介绍的方法通过规则编译时对存储有序集的改写,使得对集合的匹配通过一般函数的匹配算法就可以完成,提高了计算的效率。

New fuzzy control algorithm was proposed using pattern matching rather than the traditional fuzzy control algorithm which was based on fuzzy logical inference. The fuzzy set matching degree defiantion and the fuzzy rule matching degree definition were used to develop the model and the design steps. The relationship between this algorithm and traditional fuzzy control algorithms was discussed showing that this algorithm includes the Mamdani and Larsen fuzzy control algorithms that were most frequently used....

New fuzzy control algorithm was proposed using pattern matching rather than the traditional fuzzy control algorithm which was based on fuzzy logical inference. The fuzzy set matching degree defiantion and the fuzzy rule matching degree definition were used to develop the model and the design steps. The relationship between this algorithm and traditional fuzzy control algorithms was discussed showing that this algorithm includes the Mamdani and Larsen fuzzy control algorithms that were most frequently used. Simulation results show that the fuzzy control algorithm based on pattern matching is feasible and effective.

提出了一种新的模糊控制算法 ,传统的模糊控制算法是基于模糊逻辑推理的 ,而这种算法是基于模式匹配的。对于模糊控制器的模型 ,定义了模糊集合匹配度和模糊规则匹配度 ,在此基础上给出了基于模式匹配的模糊控制算法的模型和设计步骤。就该算法与经典模糊控制算法的联系进行了讨论 ,证明它包含了经典模糊控制中最常用的 Mamdani和 L arsen算法。另外 ,还定义了更为简便的算法。最后给出了这种算法的仿真实验结果 ,结果表明该算法是可行的、有效的。

 
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