搜索资源列表
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支持向量机用于分类问题的演示程序，分线性与非线性两部分-support vector machines for the demonstration classification procedures, sub-linear and nonlinear part 2
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关于支持向量机的一种较快速的计算方法,可以提高其计算速度,SVM-demo算法.-on support vector machines a more rapid method of calculation can improve their speed, SVM-demo algorithm.
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很好的基于支持向量机的MATLAB程序，里面包含有算例及改进算法，以及已经处理好的基于支持向量机的基因数据！-good based on support vector machines MATLAB program, which contains examples and improved algorithm and have a good handle on support vector machines genetic data!
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支持向量机的smo算法matlab程序，很经典的算法，大家参考。,Support Vector Machines smo algorithm matlab program, it is the classic algorithm, your reference.
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该工具箱包括了二种分类,二种回归,以及一种一类支持向量机算法
(1) Main_SVC_C.m --- C_SVC二类分类算法
(2) Main_SVC_Nu.m --- Nu_SVC二类分类算法
(3) Main_SVM_One_Class.m --- One-Class支持向量机
(4) Main_SVR_Epsilon.m --- Epsilon_SVR回归算法
(5) Main_SVR_Nu.m --- Nu_SVR回归算法-Support Vector Machin
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支持向量机 ，做股票预测，一元线性回归
-Support vector machines, regular activity prediction, linear regression
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用超球面支持向量机进行多类分类,每个超球面覆盖一个类-Hypersphere support vector machines using multi-class classification
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支持向量机，matlab工具集。涵盖关于支持向量机的各种主要算法实现。-Support Vector Machines, matlab tools. Support Vector Machine on the cover of the main algorithm.
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支持向量机的MATLAB实现，能自动完成数据的分类功能。-MATLAB support vector machines to achieve, can auto-complete the classification of functional data.
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四种支持向量机用于函数拟合与模式识别的MATLAB示例程序.-Four support vector machines for pattern recognition function fitting with MATLAB examples of procedures.
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用支持向量机SVM对经提取得到的信号特征参数进行信号的模式识别。-Support Vector Machines SVM right after the signal characteristic parameters were extracted for signal pattern recognition.
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关于支持向量机和Doa估计的，讲的很详细，还有自己理解弄的代码-With regard to support vector machines and Doa estimation, and speak in great detail, as well as his own understanding, get the code
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c语言例题程序，还有最小二乘法支持向量机的MATLAB调试测试运行-Example programs c language, as well as least squares support vector machines to run MATLAB Debugging and Testing
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可以实现聚类，结合神经网络、支持向量机等用于故障诊断。-Clustering can be achieved, combined with neural networks, support vector machines for fault diagnosis.
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在MATLAB运行环境下，基于支持向量机的非线性系统辨识程序！-Run in the MATLAB environment, based on support vector machines for nonlinear system identification procedure!
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A differential pulse stripping method for the simultaneous determination of lead and tin is proposed. The
procedure involves accumulation with dissolving of lead and tin on a hanging mercury drop electrode
(HMDE), followed by oxidation of dissolv
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模式识别分层聚类、k—均值算法，支持向量机、线性判别、判别代码、ppt-Pattern recognition hierarchical clustering, k-means algorithm, support vector machines, linear discriminant, discriminant code, ppt
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应用SVM于分类和回归上，文件中附有Matlab源码。-Support Vector Machines for
Classification and Regression
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模糊——支持向量机，用于模糊理论与支持向量机结合，用于数据预测-Fuzzy- support vector machines for fuzzy theory and support vector machines for data predict
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this is matlab code of Support Vector Machine and plotting the result.
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