1) generalized Euclidean distance
广义欧式距离
1.
The generalized Euclidean distance including such parameters as position,velocity and threat index is defined.
定义了包含位置、速度和威胁指数等参数的广义欧式距离,运用最近邻法和以目标角度为启发信息地全局A*搜索算法对目标聚类分群。
2) general Euclid distance
广义欧氏距离
1.
On the basis of dividing the image into some sub-blocks,the general Euclid distance is employed to classify these sub-blocks.
在把图像划分为若干个子块的基础上,以广义欧氏距离为评判标准对图像子块进行分类,然后采用支持向量回归方法建立各类型图像子块的模型,得到对应各类型图像子块的支持向量回归模型参数的集合,从而仅用图像子块编号及其类型号和相应的支持向量回归模型参数来描述整个图像,达到图像压缩的目的。
3) Euclidean distance
欧式距离
1.
Secondly, palm print recognition based on the fuzzy similarity was proposed, after analyzing the characteristic of palm print image, the membership function was proposed to establish the similar palm print image matrix, and then Euclidean distance was used to identify the image.
然后,提出了基于模糊相似性的掌纹识别方法,根据掌纹图像的特点分析后提出隶属度函数,建立掌纹图像的相似矩阵,通过欧式距离进行识别。
2.
The network is adapted to learn and classify alternative solutions,and the concept of ideal solution is introduced,then the problem is conducted by the Euclidean distances between alternative solutions and the ideal solution.
针对多属性决策问题,采用竞争神经网络对备选方案进行学习、分类,并引入理想解概念,根据方案间欧式距离远近,对备选方案进行排序。
3.
A novel adaptive genetic algorithm based on Euclidean distance is presented.
提出了一种基于欧式距离约束的自适应遗传算法(Euclidean distance-Adaptive Genetic Algorithm,EAGA),该算法将欧式距离引入自适应交叉概率,使交叉概率随适应度和个体之间的相似度自适应变化,更好地增强种群的多样性,保存优良个体;为了防止EAGA在优化过程中出现退化现象,通过融合按照一定规则产生的新个体对算法进行了改进。
4) generalized distance
广义距离
1.
In order to use the ants system successfully,the generalized distance conception is brought forward.
提出了广义距离的概念 ,并给出了功能载体知识库的建立和利用相似理论求解广义距离的方法。
2.
, the secondary 45° rotated square encoding and the tertiary generalized distance encoding.
首先引入常规外切正方形一次编码技术 ,然后提出旋转 4 5°外切正方形二次编码和广义距离三次编码两种新的编码技术 。
3.
A generalized distance coefficient based on information theory was given.
给出了一种基于信息理论的广义距离系数。
5) general metric
广义距离
1.
In this paper we discussed the completeness and separability of a noncompact fuzzy number general metric space.
讨论了非紧模糊数空间上广义距离d_p,0
2.
Firstly, a general metric is defined on noncompact fuzzy number space and its completeness and separability are proved.
作为理论基础，本文首先在非紧模糊数集上引入广义距离并证明了其完备性与可分性；其次，本文比较了几种非紧模糊随机变量的定义，其结果表明文中提到的几种非紧模糊随机变量就可测性而言是相同的；再次，讨论了非紧模糊随机变量的方差、协方差及其性质；最后初步涉及非紧模糊随机过程的理论。
6) Euclidean distance model
欧式距离法
补充资料：广义
范围较宽的定义（跟‘狭义’相对）：～的杂文也可以包括小品文在内。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条