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class-frame
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     The frame and class information is also introduced.
     文中阐述了系统功能、系统的框架、类结构以及消息处理过程。
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     Specification of program ofmain class in this frame is presented.
     详细说明了该框架中的主要对象类的构建及程序实现。
短句来源
     Yubari Class
     夕张级轻巡
短句来源
     MY CLASS
     我的班级
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     NET frame.
     NET框架下实现了该入侵监测系统。
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Analyzes the set of KQML performers in the hope of supporting as much kinds of strategies of Contract Net as possible and It also gives the corresponding conversation policy.It tries to use OOP to carry out the Agent model which uses KQML as its Communication Language.The relative classes and class-frames are built.

对现有的KQML执行原语集合进行了扩充,以期支持合同网中存在的各种协商策略,并且给出了相应的对话规则。同时,利用基于面向对象的思想实现利用KQML进行通信的Agent模型,构造了相应的类和类框架。

In this research we use material flow intensity of city to definite core urban scale class frame system, as the result, we draw out four classes core city of Jiangxi Province. With the comprehension of result in the calculating procession, we can acclaim that definite core urban scale class frame by using of material flow intensity of city is an available and efficient scientific method.

利用计算城市流强度的方法来划分江西省中心城市规模等级体系,得出江西省中心城市规模等级体系中的四个层次的城市,通过计算对划分结果的分析,证实利用城市流强度来划分城市规模等级体系是一种切实有效的科学方法。

In order to solve the difficulties existed in fingerprint multi-classification for Support Vector Machine,this paper proposes a novel fingerprint classification method based on binary tree theory.This algorithm uses binary tree to construct the multi-class frame by decomposing the problem into three 2-class classification problems,then uses Support Vector Machine optimizing the three hyperplanes.The combination of the two exerted the superiority for 2-class classification of SVM over other algorithms completely,the...

In order to solve the difficulties existed in fingerprint multi-classification for Support Vector Machine,this paper proposes a novel fingerprint classification method based on binary tree theory.This algorithm uses binary tree to construct the multi-class frame by decomposing the problem into three 2-class classification problems,then uses Support Vector Machine optimizing the three hyperplanes.The combination of the two exerted the superiority for 2-class classification of SVM over other algorithms completely,the generalization ability has improved greatly and the total accuracy for the new sample is 97.9%.Experimental results show that the fingerprint multi-class problem is divided into three 2-class classifier system by using binary tree to construct the multi-class frame,which not only can improve the efficiency of fingerprint classification but also exerts the superiorities of SVM classifier for two-class classification problem sufficiently.

为解决支持向量机(Support Vector Machine,SVM)进行指纹多类分类存在困难的问题,在应用二叉树理论的基础上,提出了一种新型的指纹分类方法.该算法首先使用二叉树进行多类决策,将原始分类数据分解成3个二类分类问题,然后利用SVM进行二类分类,使3个分类超平面得到优化.两者的有机结合,充分发挥了SVM在二类分类问题方面相对于其它方法的优势,从而使算法的推广能力有较大提高,总的分类正确率可达97.9%.实验结果证明,二叉树构造多类框架将指纹多类分类问题分解成3个二类分类器系统,不仅可以有效的提高指纹分类的效率,还充分发挥了SVM分类器解决二类分类问题的优势.

 
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