The programs of the above algorithms are developed by c + + language . it is showed that the algorithms are robust and efficient by computation the minimum distance between nurbs surfaces 以上的算法都在计算机上用c + +语言得以实现,结果表明,本文改进的算法快速、有效。
The minimum distance a building or other improvement may be co tructed from a property line . may be established by agreements , title documents or municipal by - laws or ordinances 离物业线最小的、可建造另外一所建筑或增建项目的距离。可能通过协议、产权文件、市政章程和法令建立。
The minimum distance a building or other improvement may be constructed from a property line . may be established by agreements , title documents or municipal by - laws or ordinances 离物业线最小的、可建造另外一所建筑或增建项目的距离。可能通过协议、产权文件、市政章程和法令建立。
The minimum distance between two hands holding pipe and minimum bending diameter are given for description of bending method and the practical values for real quality are less than these 最小两手距离及相应的弯曲直径是明确规定的布管方法,但是实际的产品品质可在本规定数值以下。
Firstly , based upon the technique of splitting the nurbs surfaces and bounding containers , a split algorithm is applied to calculate the minimum distance between two general nurbs surfaces 首先,根据曲面的分裂以及包围体的思想,介绍了一般nurbs曲面间最短距离的分裂算法,给出了算法的详细流程。
This thesis , from different analytical points of view , proposes three algorithms for the minimum distances between convex nurbs surfaces and general nurbs surfaces respectively 本文从不同的分析角度,分别就凸曲面和一般曲面展开研究,给出了nurbs曲面间距离求解的几种算法,解决了最为复杂的两参数曲面间的最短距离求解问题。
Because wake vortices can persist in calm air for several minutes ( extending for as far as eight miles ) , the federal aviation administration requires minimum distances between aircraft , based on size 机尾涡流可以在无风的空气中停留几分钟,向后延伸达12公里,所以美国联邦航空总署按照飞机大小而规定了飞机之间的最小安全距离。
On the basis of analyzing the classification principle of decision tree classifier and parallelpiped classifier , a new classification method based on normalized euclidian distance , called wmdc ( weighted minimum distance classifier ) , was proposed 通过分析多重限制分类器和决策树分类器的分类原则,提出了基于标准化欧式距离的加权最小距离分类器。
In the course of classifiers design , considering that the single classifier has not high recognition rate , we construct a combining classifier with a minimum distance classifier and a fuzzy nn classifier to improve the recognition rate 在分类器设计过程中,考虑到单一分类器的识别率不是很高,本文将最小距离分类器与模糊神经网络分类器结合起来构成一个组合分类器,以期提高人脸识别率。
Aiming at these problems , the proposed network integration method is improved . three minimum distance classifiers , which extract different local features , are proposed and they are combined to form an integration system by making use of the above methods 针对这些问题,本文对所提出的网络集成方法进行了改进,给出了三个提取不同局部特征的最小距离分类器,并采用上述方法构成了集成型识别系统。