搜索资源列表
SVM_MATLAB
- 四种支持向量机SVM工具箱的分类与回归算法。MATLAB编写-Vector Machine SVM classification and regression algorithm toolbox four support. Written in MATLAB
SVM-classification-forecasting
- 使用支持向量机进行数据分类的预测，文件给出了预测程序的源代码。-SVM prediction using data classification, document gives a prediction program source code.
SVM-regression-forecasting
- 支持向量机除了可以进行分类预测还可以进行回归预测，源代码为使用支持向量进行回归预测。-In addition to SVM classification can also be predicted regression prediction, the source code for the use of support vector regression to predict.
SVM-feature-optimization_GridSearch
- 在支持向量机做分类的参数优化过程中采用GridSearch方法进行参数优化，优化后可以得到较好的分类效果。-GridSearch method using SVM classification parameters to do the optimization process parameter optimization, you can get a better classification results after optimization.
SVMNR
- 支持向量机非线性回归的通用程序，是模式识别领域的重要分类方法-Support Vector Machine for Nonlinear Regression，All rights reserved
support-vector-machine-
- 用支持向量机svm实现分类与函数回归，其中包括svc程序，svc输出程序以及svr绘图程序-Classification and function regression using support vector machine svm, including svc program, svc output of the program as well as a drawing program svr
SVM-feature-optimization_GridSearch
- 在支持向量机做分类的参数优化过程中采用GridSearch方法进行参数优化，优化后可以得到较好的分类效果。-GridSearch method using SVM classification parameters to do the optimization process parameter optimization, you can get a better classification results after optimization.
SVM-regression-forecasting
- 支持向量机除了可以进行分类预测还可以进行回归预测，源代码为使用支持向量进行回归预测。-In addition to SVM classification can also be predicted regression prediction, the source code for the use of support vector regression to predict.
svmfenlei
- 利用支持向量机实现非线性分类，通过调节参数改变分类个数-Nonlinear SVM classification, change classification number by adjusting the parameters
mainsvm20
- 一个支持向量机分类的小程序，大家学习一下，应该很有用，具体我也不知道-A support vector machine classification small program, we learn, it should be useful, I do not know the specific
SVM-Matlab-toolbox
- 支持向量机（SVM）的matlab工具箱。支持分类和回归。-Support Vector Machine (SVM) matlab toolbox. Support classification and regression.
A-new-SVM-method-based-on-gradient
- 基于支持向量机选择确定决定分类最优分界面的支持向量样本，基于这些样本中各个变量在基坐标上投影进行变量选择-Selection based on support vector machine (SVM) to determine the optimal boundary decision classification support vector of the sample, based on the sample of each variable on the base coordinate p
LSSVR
- 最小二乘支持向量机，用以非线性系统最小二乘分类和拟合。-Least squares support vector machines for classification and nonlinear least squares fitting system.
LSSVMlabv1.8
- 最小支持向量机最新的MATLAB工具包，包含了回归和分类等主要的功能。-lssvm latest matlab toolkit contains predict and classify other major functions.
SVM-reviewed
- 支持向量机方法中也存在着一些亟待解决的问题，主要包括：如何用支持向量机更有效的解决多类分类问题，如何解决支持向量机二次规划过程中存在的瓶颈问题、如何确定核函数以及最优的核参数以保证算法的有效性等。-Support vector machine (SVM) method also exist some problems to be solved, mainly includes: how to use support vector machine (SVM) is more effective t
ren
- 人脸识别技术SVM支持向量机的算法提高了分类效果-SVM algorithm SVM face recognition technology to improve the classification results
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- 手写字符识别，使用svm 支持向量机和 knn最近邻分类器-Handwritten character recognition using svm SVM and knn nearest neighbor classifier
svmpredict
- 支持向量机分类函数,用于故障分类预测的正确率计算法函数-Support vector machine classification function,The correct rate of classification for fault prediction method of calculating function
regress
- 支持向量机故障诊断分类函数,多数用于故障诊断分类.-Support vector machine fault diagnosis classification function, mostly for the fault diagnosis and classification
svm_v251
- 用于模式分类和预测的方法——支持向量机的TOOLBOX的程序，核函数选择为 RBF核函数-Method for pattern classification and prediction- SVM TOOLBOX program, RBF kernel function is selected as the kernel function