提出了基于AR模型和支持向量机的转子系统故障诊断方法。
A fault diagnosis approach for rotor systems based on AR model and support vector machine is proposed.
首先，采用基于肤色分割和支持向量机的算法进行人脸检测。
Firstly, we use the algorithm based on face segmentation and SVM to detect the faces.
集的属性约简和支持向量机的分类机理，提出了一种混合算法。
This article advanced a admixture arithmetic based on rough sets theory and via support vector machines.
提出了一种机遇CEDT和支持向量机的人脸分类和识别方法。
A CEDT opportunities and support vector machine classification and face recognition.
目前研究最热的识别率最高的当属神经网络方法和支持向量机方法。
Currently, the hottest method is neural network method and support vector machine method which also have the highest accuracy rate.
提出了一种基于HHT和支持向量机的实际数字调制信号识别算法。
This paper proposed a digital modulation signal identification method using the HHT and SVM methods.
提出一种基于聚类分析和支持向量机(SVM)的布匹瑕疵分类方法。
Presents an efficient method of fabric defect classification based on cluster analysis and support vector machine (SVM).
本文提出了一种基于模板匹配、马赛克图和支持向量机的人脸检测算法。
In this paper, we provide a new human face detection algorithm based on template-matching, Mosaic image and Support Vector Machines.
结合粗糙集的属性约简和支持向量机的分类机理，提出了一种混合算法。
In this paper we present a novel hybrid algorithm based on attribute reduction of RS and classification principles of SVM.
研究表明，可拓评价方法和支持向量机对于砂土液化势进行评价是行之有效的。
The research expresses that the extension assessment method and the support vector machine are useful tool in the assessment and prediction of sand liquefaction potential.
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.
选取人工神经网络和支持向量机进行分类准确性测试，并对测试结果做出分析。
Artificial Neural Networks and Support Vector Machine were selected to test classification accuracy and the test results were analyzed.
该模型具有小波变换的良好时、频域分辨能力和支持向量机的非线性学习能力；
The model combines good time domain, frequency domain resolving ability of wavelet transformation and nonlinear learning ability of SVM.
内核方法和支持向量机(SVMs)与高斯过程相关并应用于分类和回归问题。
Kernal methods and support Vector Machines (SVMs) are related to Gaussian processes and can also be used in classification and regression problems.
介绍统计学习理论和支持向量机，提出利用支持向量机技术进行似大地水准面拟合。
This paper introduces statistical learning theory and support vector machine, proposes a new method, support vector machine technology, to simulate quasi-geoid.
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.
针对现有车型识别存在的问题，提出利用经验模态分解和支持向量机的车型声频识别方法。
For the problem of automatic vehicle recognition, a recognition method is proposed based on EMD and support vector machine.
该方法可降低数据空间维数和支持向量机处理过程的复杂度，但不会降低分类和预测性能。
The method can reduce the dimensions of the data set and the complexity of the model of SVMs, and doesn't affect its classification and prediction performance.
论文提出了一种基于潜在语义索引（LSI）和支持向量机（SVM）的异常入侵检测方法。
This paper proposes a new Support Vector Machine(SVM) for anomaly intrusion detection method based on Latent Semantic Indexing(LSI).
提出了一种利用隐马尔可夫模型(HMM)和支持向量机(SVM)的两级指纹分类新方法。
A new two-stage method of fingerprint classification is proposed that is based on hidden Markov model (HMM) and support vector machine (SVM).
根据文字与背景存在一定的差异，本文提出了一种将边缘和支持向量机相结合的文字检测算法。
According to the difference characteristics of texts and backgrounds, we propose a text detection method by combining edge information and support vector machines.
针对基于基因表达数据的分类，本文从特征基因选择和支持向量机分类算法两个方面进行了改进。
This thesis improves classification using gene expression data method in two aspects: feature selection and SVMs classification algorithm.
为了提高文本分类的准确性，研究并设计了一个基于潜在语义分析和支持向量机的多类文本分类模型。
A multiclass text categorization model based on latent semantic analysis and support vector machine is researched and designed to enhance the accuracy of categorization.
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.
为了更准确的预测油藏四个区域的物性参数，本文提出了结合粗糙集属性约简和支持向量机回归的方法。
To predict reservoir characteristic parameters of four regions exactly, a method based on the attribute reduction by the rough set and SVR is presented.
本文采用粗糙集和支持向量机这些数学方法构成智能预测系统，研究解决工程造价预测效率不高这一难题。
Using Intelligent prediction system which is constituted by rough set and support vector machine, this paper studies the low efficiency of project cost prediction.
本文采用粗糙集和支持向量机这些数学方法构成智能预测系统，研究解决工程造价预测效率不高这一难题。
Using Intelligent prediction system which is constituted by rough set and support vector machine, this paper studies the low efficiency of project cost prediction.
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