搜索资源列表
lssvm
- 很好的软件包，试试看，比libsvm有很多优点，我用过-good package, and see what happens, libsvm have a lot of strengths, I used
lssvm
- 最小二乘支持向量机
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
lssvm
- lssvm All plotting is done with this simple command. It looks for the best way of displaying the result
LSSVMatlab
- lssvm源代码用于最小二乘支持向量机的Matlab程序代码，可直接实用。(For the least squares support vector machine Matlab program code, can be directly practical.)
MatlabRegressionCode
- lssvm回归预测分析，用各种核函数进行参数调优过程，使获得最佳的预测结果。(Lssvm regression prediction analysis, with a variety of kernel functions for parameter tuning process, so that the best predictions.)
Bayframe
- Using the PSO the LSSVM the parameter, the optimal parameters, more accurate classification.
LSSVM
- 可以用于时间序列数据下的预测,以及数据模拟。(can be used to forecasting)
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。