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模糊逻辑处理
相关语句
  fuzzy logic approach
     This method can transform binary images of character directly into fuzzy prototypes based on a nonlinear weighted similarity function by fuzzy logic approach,then uses the statistical fuzzy model for classification,the hierarchic grouping of fuzzy prototypes of similarity measurement and a rule-based classifier.
     该方法通过模糊逻辑处理,直接将字符的二值化图像转换成基于非线性加权相似函数的模糊样板,然后通过分类模糊模型的统计,相似性测量样板的分级组合和基于规则的分类进行识别.
短句来源
     In stage II,transforming the characters in each group into fuzzy prototypes based on a nonlinear weighted similarity function with fuzzy logic approach,then using matching algorithm and hierachic classification of fuzzy prototypes of similarity measurement for character preclassification.
     然后通过模糊逻辑处理将各组字符分别转换成基于非线性加权函数的模糊样板并通过基于模糊相似测量的匹配算法、相似性测量样板的分级分类进行预分类。
短句来源
     Two stages are employed: in stage I,the supervised extended ART(SEART) is used to create some preclassification groups; in stage II,the characters in each group is transformed into fuzzy prototypes based on a nonlinear weighted similarity function by fuzzy logic approach,then the matching algorithm and hierachic classification of fuzzy prototypes of similarity measurement for character preclassification are used.
     该方法分2步进行,首先采用有监督的扩展ART神经网络(SEART)产生一定数量的预分类组,然后通过模糊逻辑处理将各组字符分别转换成基于非线性加权函数的模糊样板,并通过基于模糊相似测量的匹配算法、相似性测量样板的分级分类进行预分类.
短句来源
     Two stages are employed: in stage Ⅰ, the supervised extended ART (SEART) is used to create some preclassi-fication groups; in stage Ⅱ, the characters in each group is transformed into fuzzy prototypes based on a nonlinear weighted similarity function by fuzzy logic approach, then the matching algorithm and hierachic classification of fuzzy prototypes of similarity measurement for character preclassification are used.
     该方法分2步进行,首先采用有监督的扩展ART神经网络(SEART)产生一定数量的预分类组,然后通过模糊逻辑处理将各组字符分别转换成基于非线性加权函数的模糊样板,并通过基于模糊相似测量的匹配算法、相似性测量样板的分级分类进行预分类.
  “模糊逻辑处理”译为未确定词的双语例句
     Co-Genetic Algorithm(CGA) is applied to optimization for fuzzy image processing.
     将协同进化遗传算法(CGA)应用于图像增强的模糊算法优化,以优化模糊逻辑处理效果.
短句来源
     In order to solve this problem,we can update the output of the speed controller real time,using the capability of fuzzy reasoning in handling uncertain information,on base of holding the original speed controller.
     为解决这一问题,可以在保留原速度控制器的基础上,利用模糊逻辑处理不确定信息的能力,对速度控制器的输出进行实时校正。
短句来源
     Thus we got the eye candidate blocks. Secondly, to filter the candidate blocks, we established a fuzzy logic system based on statistical data.
     然后选择候选区域的位置、大小、硬度等特征,从实际统计数据出发建立一个模糊逻辑处理系统,对候选眼睛区域进行推理判断,确定眼睛所在的区域。
短句来源
     The difference of possibilistic logic from fuzzy logic is that, while fuzzy logic manipulates a set of non-Boolean formulas involving vague predicates, possibilistic logic (under its simplest form) manipulates a set of Boolean formulas in which involved classical propositions and predicates only.
     可能性逻辑不同于模糊逻辑,因为模糊逻辑处理非布尔公式,其命题中包含模糊谓词,而可能性逻辑处理布尔公式(最简单的情形),其中只包含经典命题和谓词。
短句来源
     The convergence velocity and optimization effect of co-evolution genetic algorithm (CCG) are better than that of a simple genetic algorithm. It is used for optimizing the image enhancement based fuzzy algorithm for the purpose of optimal fuzzy logic processing effect.
     协同进化遗传算法(CGA)比简单的遗传算法具有更快的收敛速度和更好的寻优效果,将其应用于图像增强的模糊算法优化,以达到最佳的模糊逻辑处理效果。
短句来源
  相似匹配句对
     Fuzzy Logic Electric Rice Cooker
     模糊逻辑电饭煲
短句来源
     WEIGHTED FUZZY LOGIC
     加权模糊逻辑
短句来源
     The application ofpredictive fuzzy logic controlin adding medicament system ofthe power plant
     预估模糊逻辑控制在电厂水处理中的应用
短句来源
     Procession of Motion Blurred Image
     运动模糊图像的处理
短句来源
     Fuzzy method for processing of Wigner distribution
     Wigner分布的模糊处理
短句来源
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  fuzzy logic approach
Considering the linguistic or imprecise and uncertain nature of software measurements, fuzzy logic approach is used for the proposed model.
      
Filtering of Linear Partially Observe Stochastic Systems: The Fuzzy Logic Approach
      
This paper presents a methodology for the calculation of ATC, which is performed through a fuzzy logic approach to parallelizing contingency constrained optimal power flow (CCOPF).
      
Use of the fuzzy logic approach to produce a landslide susceptibility map of a landslide-prone area in NW Turkey is the main purpose of the present study.
      
In this perspective fuzzy logic approach is offten thought as the main and only useful tool to deal with human words.
      
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Possibilistic logic proposed by D. Dubois and H. Prade, is a possibility theorybased non--classical logic for reasoning under uncertain evidence. The difference of possibilistic logic from fuzzy logic is that, while fuzzy logic manipulates a set of non-Boolean formulas involving vague predicates, possibilistic logic (under its simplest form) manipulates a set of Boolean formulas in which involved classical propositions and predicates only. In this paper, we try to deal with the revision and the question answering...

Possibilistic logic proposed by D. Dubois and H. Prade, is a possibility theorybased non--classical logic for reasoning under uncertain evidence. The difference of possibilistic logic from fuzzy logic is that, while fuzzy logic manipulates a set of non-Boolean formulas involving vague predicates, possibilistic logic (under its simplest form) manipulates a set of Boolean formulas in which involved classical propositions and predicates only. In this paper, we try to deal with the revision and the question answering of inconsistent knowledge bases in the framework of possibility theory. Here the knowledge is represented in the light of possibilistic logic. Two different approaches has been presented for this purpose. The first way takes into account all the maximal consistent subsets when evaluating the degree of confidence of a proposition with respect to an inconsistent knowledge base; the second one is a belief revision-based approach, which consists in restoring the consistency by selecting the optimal maximal consistent subsets.

D.Dubois和H.Prade提出的可能性逻辑是一种基于可能性理论的非经典逻辑,主要用于不确定证据推理。可能性逻辑不同于模糊逻辑,因为模糊逻辑处理非布尔公式,其命题中包含模糊谓词,而可能性逻辑处理布尔公式(最简单的情形),其中只包含经典命题和谓词。本文尝试在可能性理论的框架下进行不相容知识库的维护和问题求解。这里的知识表示是基于可能性逻辑的。为此,我们提出了两种不同的方法:第一种方法在计算命题(关于不相容知识库的)可信度时,要考虑所有极大相容子集;第二种方法是基于信念维护的,它通过选择最佳极大相容子集来恢复知识库的一致性。

Fuzzy Logic is a powerful processing methodology that easily accommodates imprecise input data and system nonlinearities for rapid development of robust control systems. This paper intro-duces the conceptions of membersbip,fuzzy variable and fuzzy logic rule. The theory and construc-tion of a stand-alone fuzzy logic controller is described. As an example of intelligent PID control,we present finally the application and its advantages of the controller.

模糊逻辑是处理非精确输入与系统非线性的强有力处理方法,便于迅速开发鲁棒性控制系统。本文介绍隶属函数、模糊变量、模糊逻辑规则等基本概念,以及单片模糊逻辑控制器的原理与结构,然后以实现智能PID控制为例子,系统地叙述了单片模糊逻辑控制器的应用与优点。

 This paper presents a method to recognize digit and small set and Multi-font Chinese character based on similarity measure of Fuzzy Model.This method can transform binary images of character directly into fuzzy prototypes based on a nonlinear weighted similarity function by fuzzy logic approach,then uses the statistical fuzzy model for classification,the hierarchic grouping of fuzzy prototypes of similarity measurement and a rule-based classifier.The experiments show this method is effective when used for...

 This paper presents a method to recognize digit and small set and Multi-font Chinese character based on similarity measure of Fuzzy Model.This method can transform binary images of character directly into fuzzy prototypes based on a nonlinear weighted similarity function by fuzzy logic approach,then uses the statistical fuzzy model for classification,the hierarchic grouping of fuzzy prototypes of similarity measurement and a rule-based classifier.The experiments show this method is effective when used for small set Chinese character and digit recognition.

文章提出了一种基于模糊相似测量的小类别数多字体汉字及数字识别方法.该方法通过模糊逻辑处理,直接将字符的二值化图像转换成基于非线性加权相似函数的模糊样板,然后通过分类模糊模型的统计,相似性测量样板的分级组合和基于规则的分类进行识别.实验表明,该方法用于小类别数多字体汉字及数字识别的效果良好.

 
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