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基于最小二乘支持向量机建模的电液伺服系统故障检测方法
-Based on least squares support vector machine modeling of the electro hydraulic servo system fault detection method
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This file is devoted to learning methods building on kernels, such as the support vector machine.
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libsvm使用说明书，libsvm是一个开源的支持向量机工具，简便易用。-libsvm manual, libsvm is an open source Support Vector Machine tools, easy to use.
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Support Vector Machine for Prediction
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支持向量机 支持向量机方法是建立在统计学习理论的VC 维理论和结构风险最小原理基础上的，根据有限的样本信息在模型的复杂性（即对特定训练样本的学习精度）和学习能力（即无错误地识别任意样本的能力）之间寻求最佳折衷，以期获得最好的推广能力-Support vector machine Support vector machine is Jianli statistical learning theory of VC dimension theory and structural risk minim
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关于支持向量机的算法 支持向量机在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中-On support vector machine support vector machine algorithm to solve small sample, nonlinear and high dimensional pattern recognition showed the advantage of many special, and can be
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支持向量机软件的使用说明，从外国网站下，下载的，希望对模式识别研究的学生有帮助啊-Support vector machine software instructions from a foreign website, the download and hope for pattern recognition research students to help ah
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非线形回归，支持向量机理论。详细地介绍了支持向量机的数据基础。举例说明支持向量机的应用。-Non-linear regression, support vector machine theory. Detailed descr iption of the support vector machine data base. Illustrate the application of support vector machines.
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MATLAB支持向量机工具箱分类相关参数选择介绍-MATLAB support vector machine tool box classification related parameters selection is introduced
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主成分分析，支持向量机介绍，PDF文档，自制-Principal component analysis, support vector machine, PDF documents, homemade
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融合小波能谱熵和支持向量机ＳＶＭ的特点提出了基于小波能谱熵的ＳＶＭ故障诊断方法．
利用转子试验台对转子典型振动故障进行模拟并采集振动数据提取其振动信号的小波能谱熵作为特征向
量-Fusion wavelet energy entropy and support vector machine SVM is proposed based on the characteristics of wavelet energy entropy SVM fault diagnosis method. U
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This paper describes about the support vector machines. It is a pattern recognition mechanism for classification of data.Support vector machine is most commonly used for binary classification
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Linear support vector machine separates two classes of data.the basic idea behind SVM is to create a hyperplane that optimally separates the two classes of data.
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Classification algorithm based on support vector machine, after test results, well, and achieved very good classification results
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Machine Learning is considered as a subfield of Artificial Intelligence and it is concerned with the development of techniques and methods which enable the computer to learn. In simple terms development of algorithms which enable the machine to learn
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