分类机

A sequenced method in consideration of the sample range was proposed to rationally array classifiers of a support vector machine with binary tree architecture. A sample distribution radius and a sample distribution distance were introduced to estimate sample range of all classes in high-dimension characteristic space. The classes with bigger sample range were classified earlier in the higher nodal point of the binary tree architecture, and were given wider classificatory areas in the characteristic space.

考虑到样本的分布情况对分类器推广能力具有较大影响，提出一种次序二叉树支持向量机多类算法，采用样本分布半径和样本分布距离估算各个类别的样本在高维特征空间中的分布情况，把分布半径较大的类别或者分布距离较大的类别较早地分出来，并且在特征空间中给其划分较大的分类区域。

A new SVM is presented in this paper to solve the approximately linear separable problem of pattern recognition:First,we transform the two convex hulls which are made up of the approximately separable training set to make them separable;Second,we can figure out a separating hyperplane by halving the nearest points method or maximal margin method;Then,we get the approximately linear SVM by solving the dual problem of maximal margin method.

对模式分类中的近似线性可分问题提出了一种新的近似线性支持向量机：先对近似线性分类中的训练集所形成的两类凸壳进行了相似变形，使变形后的凸壳线性可分，再用平分最近点和最大间隔法求出理想的分划超平面，然后再通过求解最大间隔法的对偶问题得到基于相似压缩的近似线性SVM。

The hyperplane revises the error of the standard Support Vector Machines.

该分类面校正了标准的支持向量机的分类误差。

The P-V indicating diagram of compressor is a truthful record of working condition in the cylinder. According to the technique, the pressure signals collected from cylinder are normalized and treated as characteristic vector. And the vectors are inputted into a multi-class classifier composed of many support vector machines to identify fault modes.

压缩机P-V指示图是压缩机气缸部分工作状况的真实记录，该技术将采集的气缸压力信号经归一化处理后作为特征向量，输入到由多个支持向量机构造的多值分类器中进行故障模式分类。

On the base of applied tech. and system structure, the key tech. are expressed in detail. It includes:Knowledge representation technology: it is described in two stages by "Depictive frame + Rule group"."Depictive frame" is used to reflect the factors concerning question field."Rule group" reflects the son-question in question field; knowledge management system: it is made up of knowledge-base editing component, factor classifying component, knowledge inspecting component and extractive knowledge component; uncertainty reasoning adopt method of elicitation search strategy and data drive controlled by member knowledge. It take reliability of compound proof at first. That can resolve the matching contradiction. Reasoning explanation introduce pre-text and followed method of resolving path. Knowledge discovery component take SLIQ as basic arithmetic. It provides classification model in two stage forms which aim at training suit. That is decision tree and productive rule.

在确定应用技术与系统结构的基础上，重点阐述了本文的核心技术，这包括：知识表示技术，采用"描述框架+规则组"的层次结构，"描述框架"用于描述问题域所涉及的因素，"规则组"反映问题域内的子问题；知识管理系统，由知识库编辑构件、因素分类构件、知识检测构件和知识求精构件组成；不确定性推理机采用启发式搜索策略，元知识控制的数据驱动，以复合证据可信度优先作为匹配冲突消解的策略，推理解释采用预置文本与求解路径追踪的方法；知识发现，采用SLIQ快速可伸缩算法，分类模型用判定树与产生式规则两种形式描述。

Applling the key techniques of text topics classification to text sentiment classification In this paper, using three kinds feature selection methods (information gain, mutual information and chi-square statistic), and two kinds probability computer, and support vector machine to construct the classifier, text sentiment classification are studied.

本文采用了信息增益、互信息和x~2统计三种特征选择方法以及布尔和频率两种概率估算方法，对文本情感倾向分类进行了实验研究，选择支持向量机技术构造分类器。

The support vector machine is one new general learning method,which proposed in the statistical Learning Theory,mainly applied in the data classification and regression estimate,meanwhile the main basis in plant classification is plant's outward characteristic.

支持向量机是在统计学习理论基础上提出的一种新型的通用学习方法，主要应用于数据的分类和回归估计，而植物分类的主要依据是植物的外观特征。

To improve classification reliability, aGaussian Radial Basis Function is chosen on the Spectral Histogram Representation and the Support Vector Machines is used as classifying function.

为了保证分类的可靠性，选择高斯径向基函数进行谱直方图表示，采用支持向量机作为分类函数。

Then use this classifier to classify the unclassified data points.

支撑向量机是二分类问题的一个分类模型，模型的结果表现为支撑向量。

The Hausdorff property of a kind of classifying mode is defined. And it is proved that the single-layer perceptron can deal with the classifying problems of any Hausdorff pattern sets. Chapter 5 studies the radial basis function networks and a proof of Cover pattern classifiable theorem is presented.

第四章主要研究多层感知机的万能逼近性和最佳逼近性，包括权值有界和隐单元权有界时的情况，定义了一种分类模式的Hausdorff性，证明了单层感知机能解决任意具有Hausdorff性的模式集的分类问题。

For a big chunk of credit-card losses; the number of filings (and thus charge-off rates) would be rising again, whether

年美国个人破产法的一个改动使得破产登记急速下降，而后引起了信用卡大规模的亏损。

Eph. 4:23 And that you be renewed in the spirit of your mind

弗四23 而在你们心思的灵里得以更新