搜索资源列表
SVM算法
- 充分学习了解支持向量机算法，以案例的形式来增长自身知识。其使用在matlab软件中。(Full learning to understand support vector machine algorithm, in case of the form of growth of knowledge. It is used in matlab software.)
ChemSVM(xdowns.com)
- 支持向量机小程序，可进行分类和预测，无需输入代码(SVM contains SVC and SVR without inputting codes)
SVM
- 支持向量机，进行数据的预处理，属于浅层神经网络，适用于基础的分类、。(Support vector machine (SVM) is used to preprocess the data, which belongs to the shallow neural network, and is suitable for the basic classification,)
参考文献
- 支持向量机算法，libsvm，可以建模仿真(SVR libsvm-3.1-[FarutoUltimate3.1Mcode])
支持向量机的C语言程序源码
- 这是一段支持向量机器的C语言源代码，包含主函数、核函数还有各种运算(the programe of SVM includeing classfy.c hideo.c learn.c loqo.c)
svmtrain
- 基于支持向量机的对指定多个包含特征的训练集图片，包含label信息。训练后，可对于相同格式的图片进行分类。(A training set image containing multiple features is included in the support vector machine (SVM), which contains label information. After training, the pictures in the same format can be classifi
SVM
- 模式识别分类，支持向量机，二分类算法，库函数实现(Pattern recognition classification)
支持向量机matlab实例及理论
- 支持向量机matlab实例及理论,详细介绍了svm理论以及MATLAB自带的SVM分类用法(Support vector machine matlab examples and theories, detailing svm theory and MATLAB comes with SVM classification)
smo
- 支持向量机的smo算法实现，包含普通smo和优化后的smo算法(svm impletement with smo, including simple smo and optimitive smo)
svm
- MATLAB支持向量机，编程实现，已用C语言转，内附Windows x64和x32(MATLAB SVM Programming implementation, has been used in C language, Windows x64 and X32)
LVSVM
- 该支持向量机程序可直接在matlab调用，程序的调用可用来事项matlab模式识别相关(The call of the program can be used for matlab pattern recognition related to matters.)
chapter13_PSO
- pso 算法对支持向量机进行参数寻优，能够寻找最优的支持向量机参数，并建立最佳模型(PSO algorithm for parameter optimization of support vector machines)
SVM1
- matlab实现支持向量机分类方法的代码(Matlab implementation of the code for support vector machine classification)
仿真神经网络层次分析
- 有关神经网络，随机森林，支持向量机的一些例子还有资料(Some examples of neural networks, random forests, support vector machines and information)
ga-svm
- 用遗传算法优化支持向量回归机C、g、p参数(Optimization of C, G, P parameters of support vector regression machine by genetic algorithm)
sh_SVM_regression
- 支持向量机的工具包，很有用可以直接导入matlab中进行使用(SVM support vector mercine)
SVM-tool
- 支持向量机的里一个工具包，里面的函数我自己改了一下，有所优化(Support vector machine in a toolkit, the function inside I changed it, some optimization)
main
- chapter28支持向量机的分类——基于乳腺组织电阻抗特性的乳腺癌诊断(Classification of chapter28 support vector machines - breast cancer diagnosis based on breast tissue impedance)
基于数据数量对支持向量机和BP神经网络性能分析
- 不同样本数量支持向量机和BP神经网络性能分析对比(Performance analysis of neural network)
SVR
- 该代码属于支持向量回归技术的新实现，直接调用，简单易操作，训练和测试分开(The code belongs to the new implementation of support vector regression technology, direct call, simple and easy to operate, training and testing separate)