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graph identification
相关语句
  图形识别
     Graph Identification Algorithm based on Immune
     基于免疫的图形识别算法
短句来源
     This paper puts forward a newly graph identification model based on immune and gives the algorithm design accordingly. It describes the evolving conditions among antigen,optimal antibody,mature antibody, memory antibody and immune cycle quantitatively. It sets forth APC,antibody feature pool,mature antibody,and the way of producing memory body and how to introduce competition mechanism in solution spaces.
     本文提出了一种新型的基于免疫的图形识别模型并给出了相应的算法设计,定量的刻画了抗原、最佳抗体、成熟抗体、记忆抗体、免疫周期之间的演化情况,阐明了抗原提取、抗体特征库、成熟抗体、记忆抗体的产生方法,以及如何在解空间引入竞争机制.
短句来源
  相似匹配句对
     [s,t]-GRAPH
     [s,t]-图及其Hamilton性
短句来源
     identification;
     鉴定 ;
短句来源
     Graph Identification Algorithm based on Immune
     基于免疫的图形识别算法
短句来源
     Identification of Gasoline by Its Star-shaped Graph
     汽油油源的星状图鉴定法
短句来源
     Modeling and Identification
     建模与辨识
短句来源
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  graph identification
An optimal lower bound on the number of variables for graph identification
      


The brain's judgement time, graph identification time, action time and velocity estimation judgement of every driver in a driver group are evaluated and analyzed in this paper, According to test results, the sample population was divided into several classes by using the method of multi-variate cluster analysis and by locating the centre of each class, was sample of higher accident proneness can be seperated from the group so that driver in the group who tends to cause triffic accidents can be predicted...

The brain's judgement time, graph identification time, action time and velocity estimation judgement of every driver in a driver group are evaluated and analyzed in this paper, According to test results, the sample population was divided into several classes by using the method of multi-variate cluster analysis and by locating the centre of each class, was sample of higher accident proneness can be seperated from the group so that driver in the group who tends to cause triffic accidents can be predicted and thus the driving safety can be improved.Through a tracking investigation on drivers, it has been verified that there is indeed the problem of driver adaptability in a driver group and the method of testing and analyzing adopted in this paper has also been shown to be feasible.

本文对驾驶员群体中的每个人,进行大脑判断时间、图形识别时间、动作时间和速度估计判断等逐项测试分析,并用多元聚类分析法对样本分类,求出每类的中心,分离出事故倾向性大的样本,以便对驾驶员群体中事故多发者进行预测,改善驾驶安全性。对驾驶员跟踪调查表明,在驾驶员群体中确实存在着驾驶适合性问题,并证实本文所述方法可行。

This paper proposes a method for pre-processing scanning images of engineering drawings. Via the method ,such as sharpening filter,adaptive binary,modified algorithm of binary picture based on line adjacency graph, etc.The quality of the scanning images were gradually improved. As a result,the accuracy of the post-graph identification would be improved; in which modified algorithm of binary picture acquired higher processing speed and better quality compared with the present conventional algorithm. A...

This paper proposes a method for pre-processing scanning images of engineering drawings. Via the method ,such as sharpening filter,adaptive binary,modified algorithm of binary picture based on line adjacency graph, etc.The quality of the scanning images were gradually improved. As a result,the accuracy of the post-graph identification would be improved; in which modified algorithm of binary picture acquired higher processing speed and better quality compared with the present conventional algorithm. A good data structures would be built for the post-graphidentification as well.

提出了一种针对工程图扫描图象的预处理方法 ,用锐化滤波、自适应二值化、基于行相邻图的二值图象改进算法等方法逐步改善扫描图象质量 ,以进一步提高后期图形识别的精度 ,其中基于行相邻图的二值图象改进算法较现有常规算法在速度和质量上有较大的提高 ,同时为后续图形的识别建立了一种良好的数据结构。

This paper puts forward a newly graph identification model based on immune and gives the algorithm design accordingly.It describes the evolving conditions among antigen,optimal antibody,mature antibody, memory antibody and immune cycle quantitatively.It sets forth APC,antibody feature pool,mature antibody,and the way of producing memory body and how to introduce competition mechanism in solution spaces.Finally,it analyzes the time complexity of this algorithm.

本文提出了一种新型的基于免疫的图形识别模型并给出了相应的算法设计,定量的刻画了抗原、最佳抗体、成熟抗体、记忆抗体、免疫周期之间的演化情况,阐明了抗原提取、抗体特征库、成熟抗体、记忆抗体的产生方法,以及如何在解空间引入竞争机制.文章最后分析了此算法的时间复杂度.

 
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