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lssvm
- %% 清空环境 clc clear load wine; train = [wine(1:30,:);wine(60:95,:);wine(131:153,:)]; train_label = [wine_labels(1:30);wine_labels(60:95);wine_labels(131:153)]; test = [wine(31:59,:);wine(96:130,:);wine(154:178,:)]; test_label = [wine_labels(31
KPCA.rar
- 快速的人脸特征提取算法KPCA,比普通的pca特征提取算法在效率上好了不少,Fast facial feature extraction algorithm KPCA, than ordinary PCA feature extraction algorithm in the efficiency of a good many
113172231LSSVM
- LSSVN用于预测的程序,希望对初学者有帮助-LSSVN used to predict the program, want to help beginners
GA-PSOPSO
- (粒子群算法)作为添加算子改进GA (遗传算法),供大家学习-(PSO), as the operator to add to improve the GA (genetic algorithm) for them to learn
SVM
- matlab svm 分类程序,适合7.0以上的版本-matlab svm classification procedures suitable version 7.0 or above
Liagnosis
- 层次聚类LSSVM在模拟电路故障诊断LSSVM hierarchical clustering in analog circuit fault diagnosis-LSSVM hierarchical clustering in analog circuit fault diagnosis
information-fusion
- 利用支持向量机完成的导航高度信息融合,需要用到lssvm toolbox。内的000是数据文件。-Support vector machine to complete a high degree of navigation information fusion, need to use lssvm toolbox. The 000 is the data file.
my_lssvm1
- 基于台湾大学林智仁教授开发的LSSVM工具箱编写的鸢尾属植物分类程序,基于四个特征中的后两个进行的分类,分类效果相当好!-classification for iris data using lssvm
entropy
- 含有最小二乘向量机程序,及近似熵,模糊熵,排列熵程序。(It contains the LSSVM program, and the approximate entropy, the fuzzy entropy, the permutation entropy program.)
LSSVM
- 最小二乘支持向量机,改进后的支持向量机算法(least squares support vector machine, Improved least squares support vector machine)
LSSVM-master
- 本代码为最小二乘支持向量机,用于分类和预测,基于python。(This code is a least squares support vector machine, which is used for classification and prediction based on python.)
iris12
- 基于LSSVM的分类器,用于iris的三种分类,4种特征进行3类分类,准确率90%以上(LSSVM FOR IRIS,The classifier based on LSSVM is used for three classifications of iris, and 4 features are classified by 3 categories. The accuracy rate is over 90%.)
lssvm_prediction
- LSSVM时间序列预测,基于matlab lssvm工具箱!推荐!!!!!(LSSVM time series prediction is based on MATLAB LSSVM toolbox. Recommend!!!!!)
LSSVM
- matlab平台下的最小二乘法支持向量机用于分类,二分类准确率可到100%,三分类可到96%。(The least squares support vector machine under Matlab platform is used for classification. The accuracy of two classification can reach 100%, and three classification can reach 96%.)
LS-SVMlab1.5
- 最小二乘法向量机lssvm的matlab的编程程序,可用于预测模型,温度补偿等(Least squares vector machine LSSVM matlab programming procedures, can be used for prediction models, temperature compensation, etc.)
GA-LSSVM.m
- 遗传算法优化最小二乘支持向量机的核函数参数和正则化参数(Optimization of Kernel Function and Regularization Parameters of Least Square Support Vector Machine by Genetic Algorithms)
LSSVM对乘坐高铁的行为预测(LSSVM二分类)
- 本代码是对某人群乘坐高铁行为的预测,其实就是一个典型的二分类问题,用LSSVM工具箱进行建模,最后用ROC曲线来反应分类效果。
PSO优化LSSVM
- PSO优化LSSVM的工具箱,可以加到matlab的toolbox里直接调用相关函数实现PSO对LSSVM参数的优化。
LSSVM
- 用支持向量机模型预测滑坡位移的MATLAB源代码,供大家交流学习。预测效果还可以。(Landslide displacement prediction)
lssvm工具箱
- LSSVM分类,LSSVM和SVM的区别就在于,LSSVM把原方法的不等式约束变为等式约束,从而大大方便了Lagrange乘子alpha的求解,原问题是QP问题,而在LSSVM中则是一个解线性方程组的问题。