搜索资源列表
SVM-KM
- 一种很容易理解的svm matlab工具箱，可用于分类，回归，并附很多示例。
SVM-KMExample
- 一种很容易理解的svm matlab工具箱,可用于分类，回归，并附有很多示例。
GA-SVM
- 遗传算法+支持向量机，非常的实用，希望对大家有用。-Genetic algorithms+ support vector machine, very useful, we want to be useful.
SVM-KM
- svm详细例子（包括分类，回归）等。需要的人，下载试试。多交流.我需要svm-smo的matlab源码。谁有？-SVM detailed examples (including classification, regression) and so on. Those who need it, download a try. More exchanges. Svm-smo I need the matlab source code. Who?
svr
- svm 的matlab程序,是最基本的svm形式-the sourse of svm,it is the basic styple
LS-SVM
- 这是对于工业过程中连续搅拌釜反应器用支持向量机建模的实例。预测效果很好。-This is for the industrial process of continuous stirred tank reaction used in support vector machine modeling examples. Very good prediction.
SVM_lzb1p0
- svm（支持向量机）能进行分类。有不同的核函数，如线性，多项式等-svm (support vector machine) can be classified. There are different kernel functions, such as linear, polynomial, etc.
svm-lecture
- 有关支持向量机的讲座,我看了之后的确受益非浅-Support Vector Machines on the talks, after I read indeed benefited
SVM
- 有基于 matlav的svm软件工具，感觉挺好用的。里面有很多实例，稍加修改就可以使用。例如三分类问题： 1、输入三类数据xapp yapp 2、选择多类分类方法（一对多或一对一或m-svm） 3、设置参数 4、调用训练函数得到向量机参数 5、输入测试数据，得到预期结果。 -There is matlav based on the SVM-based software tools, I feel pretty useless. Inside there is a lot
SVM
- 支持向量机(SVM)用于分类的算法实现-svm
lecture07-090330
- Vapnik-Cheervonenkis (VC) Dimension Support Vector Machines SVM Applications Committee machines PAC Learning Boosting “No Free Lunch” Theorem-Vapnik-Cheervonenkis (VC) Dimension
MOGA-SVM
- Moga- SVM procedures contain three documents : 1.moga 2.nsga
svm
- 关于SVM学习的两个ppt。内容通俗易懂，适合初学者看看，供大家参考。-On the SVM learning 2 ppt. The contents of user-friendly, suitable for beginners look for your reference.
LinearSVC
- Construct a linear SVM classifier from the training Samples and Labels
GA_SVM
- 对于小样本而言，SVM的仿真效果要比神经网络好，但是SVM的性能依赖于它的两个训练参数，本算法是用GA自动选择SVM的两个参数。-For small sample case, SVM simulation results than the neural network is good, but the performance of SVM depends on its two training parameters, the algorithm is automatically selected
svm
- 支持向量机自动提取模糊规则，仿真结果验证了其可靠性-The use of support vector machine automatically extract fuzzy rules, simulation results verify the reliability of the method
SVMClassificationFunction
- this a matlab coding of svm classification function. when inputing training samples, training labels, testing samples, testing labels, and two parameters, the classification result is obtained. linear svm and nonlinear svm can be selected.-this
SVM-KM
- KNN k nearest neighbours, this is a method to design which cluster the test sample belong to using the KNN algorithm,which is a matlab code worth using and download.-k nearest neighbours, this is a method to design which cluster the test sample belon
SVM-matlab
- 几个SVM实现的matlab代码，比较详细-Several SVM realization of matlab code, more detailed
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.