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4574
- 随机调制信号下的模拟ppm，包括最小二乘法、SVM、神经网络、1_k近邻法,真的是一个好程序。- Random ppm modulated analog signal under Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Really is a good program.
main
- 用于语音信号，心音信号基于SVM的MATLAB识别-Recognition of Speech Signal and Heart Sound Signal Based on SVM
LIBSVMGUI20150708
- matlab中的GUI界面代码（可用于实现界面显示）和SVM支持向量机代码（最热分类方法）-Matlab GUI interface code (available for implementation interface display) and SVM support vector machine code (the hottest classification method)
chapter14
- 基于svm的数据分类预测，数据集是意大利葡萄酒种类的数据集，对葡萄酒进行种类识别以及分类。-Based on the svm data classification prediction, the data set is the Italian wine category data set, the wine species identification and classification.
chapter15_0
- svm 的参数优化，利用交叉验证法选择最优参数c g，最终提高训练集的分类准确率,更好的提高分类器性能-Svm parameter optimization, the use of cross-validation method to the optimal parameter c g, and ultimately improve the training set classification accuracy，better improve the classifier performan
chapter15_PSO
- svm 的参数优化，利用pso(粒子群优化算法)选择最优参数c g，最终提高训练集的分类准确率，更好的提高分类器性能-Svm parameter optimization, the use of pso (particle swarm optimization algorithm) to the optimal parameter c g, and ultimately improve the training set classification accuracy, better impr
chapter15_GA
- svm 的参数优化，利用ga(遗传优化算法)选择最优参数c g，最终提高训练集的分类准确率，更好的提高分类器性能-Svm parameter optimization, the use of ga (genetic optimization algorithm) to the optimal parameter c g, and ultimately improve the accuracy of the training set classification, better improve
gaSVMcgForClass
- svm 的参数优化，利用ga(遗传优化算法)选择最优参数c g，最终提高训练集的分类准确率，更好的提高分类器性能,这是ga的功能函数源码-Svm parameter optimization, the use of ga (genetic optimization algorithm) to the optimal parameter c g, and ultimately improve the training set classification accuracy, better imp
svn
- 只需要在MYEclipse中间svn的两个文件夹,粘贴复制进去就好了(Just two folders in the middle of SVN, MYEclipse, paste and copy it)
06 支持向量机（Support Vector Machine, SVM）
- 支持向量机代码，很好用的，适合初学者，一起交流一起进步(Support vector machine code, very good, suitable for beginners, together with the progress of communication)
rebuilt.HumanTimbre_recognition-master
- 利用mfcc特性进行语音识别，分类算法为svm。(Speech recognition using MFCC characteristics)
speech_emotion_experiment
- 基于SVM的语音情感识别，可以从用户的话语中识别愤怒、开心、快乐、悲伤等情感(SVM-based speech emotion recognition, which can identify emotions such as anger, happiness, happiness, sadness, etc. from the user's words.)
matlab信号分析
- SVM对生物医学信号，脑电，心电进行分类