搜索资源列表
SVM
- SVM算法matlab程序,包括分类和回归.值得一看
LS-svm用于回归分析
- Matlab LS-svm用于回归分析,LS-svm regression analysis
SVM
- SVM MATLAB SVM MATLAB -Support Vector Machine SVM and nuclear assembly MATLAB function
SVMluzhenbo
- SVM-matlab故障诊断程序 -SVM-matlab process fault diagnosis fault diagnosis SVM-matlab program
work
- svm在matlab中的应用的一些程序以及说明-svm application in matlab some of the procedures
101259391SVM--SVM
- 支持向量机算法源码，经过适当改编，便可用于多种用途。-sam
svm_demo_source
- svm demo source for classification
LS
- 试验模态分析的时域识别方法的一种，可以识别出信号的模态参数，固有频率阻尼比振型系数，-Experimental modal analysis of a time-domain identification method that can identify the signal modal parameters, natural frequency mode of vibration damping ratio coefficient,
svm_v251.tar
- 最小二乘支持向量机的MATLAB工具箱，对于要学习这方面的初学者有很大的帮助-svm toolbox based matlab,it is useful for the begin learnner
svm-GUI
- 能够实现支持向量机的界面操作，支持向量机比神经网络功能强大，能够实现分类和识别-Support vector machine (SVM) to realize the interface operation, support vector machine (SVM) is a powerful than neural network, which can achieve the classification and recognition
svmplot
- 支持向量机的画图程序。能够很好的将识别到的不同类型分量，可视化。-Support vector machine (SVM) drawing program. Can very good will to identify the different types of component, visualization.
svm
- 支持向量机模型用于预测分析效果显著，它在解决小样本、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-Support vector machine model is used to predict significant effect in solving small sample, nonlinear and high dimensional pattern recognition exhibit many unique advantages, and
33878
- SVM神经网络的数据分类预测——葡萄酒种类识别-SVM neural network data classification forecast- wine species identification
mi-svm
- For hybrid mutual information and SVM
libsvm
- 使用svm工具箱进行分类，回归，预测，归一化，训练-Using svm toolbox for classification, regression, forecasting, normalization, training
SVM-regression
- 基于SVM的回归预测算法，用于开始学习支持向量机，详细，简单，具体-SVM regression prediction algorithm based on support vector machines for start learning, detailed, simple, specific
svm
- 这是svm的程序，运用它可以使你很快掌握svm的基本原理，对初学者很有帮助！-This is the application of SVM, with it can make you quickly grasp the basic principle of SVM, is very helpful for beginners!
SVM
- 所谓VC维是对函数类的一种度量，可以简单的理解为问题的复杂程度，VC维越高，一个问题就越复杂。正是因为SVM关注的是VC维，后面我们可以看到，SVM解决问题的时候-The so-called VC dimension is a measure of the function classes, it can be simply understood the complexity of the problem, VC dimension, the more complex a problem. It
gabor-svm
- 基于小波分析的支持向量机算法，可实现图像识别-The support vector machine (SVM) algorithm based on wavelet analysis program
svm-knn
- svm与knn组合模型的matlab实现(Matlab implementation of SVM and KNN combined model)