支持向量机分类器结构简单、可获得全局最优、泛化能力强。
SVM has good characteristics of simple structure, global optimum and strong generalization ability.
结果表明，优化核参数的支持向量机分类器准确率高，实时性好。
The classification accuracies indicated that the optimal kernel-parameter method could get optimal results.
使用多个支撑矢量机分类器构成一个多类分类器用于多类信号的调制识别。
Several SVM classifiers are used to make a multi-classes classifier for modulation identification.
支持向量机分类器克服了当前常用的模式识别方法的缺点，有效提高了识别率。
Support vector machine classifier overcome the shortcoming of the present and commonly used pattern-recognition methods, and has improved the recognition rate effectively.
实验结果表明，所提出的置信特征和支持向量机分类器取得了很好的确认效果。
Experimental results show that confidence measures and the SVM classifier are effective for utterance verification.
分析了基于记忆库混沌时间序列预测方法，引入一种改进核函数的支持向量机分类器。
Secondly the prediction technology of chaotic time series is studied based on memory-based predictor.
根据特征进行文本向量化，再以支持向量机分类器区分文本类型，实现非法文本的过滤。
According to the features, we finish the vectorization of texts, and then use support vector machine classifier to distinguish texts and filter illegal texts.
设计了基于听觉原理和支持向量机分类器的风机故障诊断系统，并应用于风机故障诊断。
A fault diagnosis system is designed based on auditory principle and SVM, and is also applied to fault diagnosis for fan.
然后基于支持向量机算法构造了支持向量机分类器，将其用于心电图分类，取得了较高的准确率。
Then a support vector machine classifier is constructed and applied to ECG classification. Comparing with the classification of ECG by eyes, the classification results is much more precise.
图像纹理特征的有效提取对下面所用到的支持向量机分类器来进行学习和训练有非常重要的作用。
Efficient extraction of image texture features are used on the following support vector machine classifier learning and training have a very important role.
为了将一般增量学习算法扩展到并行计算环境中，提出一种基于多支持向量机分类器的增量学习算法。
In order to extend common incremental learning algorithms into a parallel computation setting, an incremental learning algorithm with multiple support vector machine classifiers is proposed.
实验结果表明，基于KPCA特征提取法的支持向量机分类器的分类错误率在这四种分类算法中最低。
The experiment results concludes that the SVM classification method based on KPCA have the better classification effect than the other three.
将属性约简算法和支持向量机增量训练算法相结合，构造基于粗糙集数据预处理的支持向量机分类器。
To combine the attribute reduction algorithm and the incremental training algorithm of support vector machine, a support vector machine classifier based on rough set is constructed.
文中使用小波变换来对人脸的高维图像矢量进行压缩，并设计了一个支持向量机分类器系统来识别人脸。
This article utilizes the wavelet transform to compress the high dimensional face image vectors, then devises an SVM classify system to recognition the face.
通过对基于多项式核函数和径向基核函数的支持向量机分类器进行比较，并且得到三种肝脏分类的识别率。
The classification accuracy of SVM based on polynomial and radial basis function kernel were compared, and the recognition accuracy of the three categories were obtained.
同样，基于粗糙集理论对特征集进行约简，在最优决策属性的基础上使用最小二乘支持向量机分类器对流型进行识别。
Similarly, based on rough set theory to feature-set reduction, in the optimal decision based on the use of the property least squares support vector machine classifier to identify the flow pattern.
文中将支撑矢量机的概念引入雷达的目标一维像识别中，对其机理作了详细地分析，建立了相应的支撑矢量机分类器算法。
A novel SVM for the radar target recognition is proposed in this paper, the mechanism of SVM is particularly analyzed and the classification algorithm is established.
同时本文将机器学习和相关反馈结合起来用于图像检索，在实验中使用了K -NN、BP神经网络和支持向量机分类器。
At the same time, we used relevance feedback and machine learning used in image retrieval. K-NN, BP neural network and support vector machine classifiers were used in experiments.
本文利用三种特征选择方法、两种权重计算方法、五种停用词表以及支持向量机分类器对汽车语料的文本情感类别进行了研究。
The experiment results indicate that the greater text sentiment classification impact depends on other corpus, excluded adjective, verb, adverb as stop words and none stop words.
最常见的方法是分类归入到四维矩阵中，矩阵的一个轴上是服务器和虚拟机，另外一个轴上是网络和存储。
The most common method is to split the categories into a four-way matrix with server and virtual machine problems on one axis and network and storage on the other axis.
在此基础上，研究了用球结构支持向量机作分类器，对滚动轴承内圈故障的劣化程度进行识别的理论和方法。
Basing on these, study theory and method of using Sphere-structured Support Vector Machines to recognize the roll bearing inside track's fault deterioration extent.
结合组合式电脑茶叶拣梗机的模式分类问题，讨论了模式分类器智能化及实现策略。
The intelligent pattern classifier and its realization techniques are discussed according to the classing process in a computer control combined tea-stalk reject system.
进一步将二维谱熵作为支持向量机（SVM）分类器的输入量，结果表明SVM具有良好的分类能力和计算效率，可以满足在线监测的要求。
Then, inputting the two-dimension spectrum entropy into the SVM classification, the result shows that SVM has fine compute efficiency and classified ability.
本文对挤出机换网器进行了分类，对典型结构及应用进行了较详尽的阐述，同时对国内换网器的开发工作提出了建议。
In this article the classification, structures and applications of screen changers were described in detail. Some Suggestions on the domestic development of screen changers were also made.
提出了一种利用支持向量机(SVM)对机械系统故障进行分类的新方法；以二值分类为基础，开发了基于支持向量机的多值分类器。
A new method of fault classification for mechanical system by means of support vector machine (SVM) is proposed and a multi-class SVM classifier based on binary classification was developed.
在分类器设计方面，通过引入支持矢量机，进一步提高低信噪比下的汉语声调识别率。
On the design of classifier, by introducing support vector machine, Chinese tone recognition rate is improved under low signal noise rate conditions.
提出了一种红外热像处理与支持向量机多值分类器相结合的新方法对高压绝缘子污秽等级进行检测。
This paper presents a new method that integrates infrared thermal image technique with support vector machine (SVM) classifiers to check the contamination grades of high voltage insulators.
在基于支撑矢量机的分类器学习算法中，预先选择支撑矢量是非常重要的。
For the support vector machine based learning algorithm of classifier, it is very importance for the support vector to be pre-selected.
然后再以支持向量机(SVM)和最近邻分类法相结合组成分类器进行分类。
Furthermore, combined with the nearest distance classifier, the support vector machine (SVM) is used for classification.
然后再以支持向量机(SVM)和最近邻分类法相结合组成分类器进行分类。
Furthermore, combined with the nearest distance classifier, the support vector machine (SVM) is used for classification.
应用推荐