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PSOLSSVM
- 基于粒子群优化的最小二乘支持向量机的电力系统短期负荷预测的matlab仿真程序。-Power system based on short-term load PSO least squares support vector machine prediction matlab simulation program.
LSSVM
- 最小二乘支持向量机用于脑电心电处理的一段程序-Squares support vector machines for EEG ECG processing a program
LibSVM
- 最小二乘支持向量机的一个程序,应用在机床控制- a program of LS-SVM for controlling
LSSVMlabv1_8_R2009b_R2011a
- lssvm 最小二乘支持向量机,用于多元非线性回归分析,非线性拟合与预测-Least squares support vector machine for multi-linear regression analysis, nonlinear fitting and prediction
lssvm_um
- 该文件为最小二乘支持向量机源代码，测试可用。-This is the least squares support vector machine documentation.
chapter13_GA
- 对最小二乘支持向量机的核函数进行参数优化，最后得到分类更加准确的分类器-For least squares support vector machine (SVM) kernel function parameter optimization, finally get a more accurate classification of classifier
moshishibie
- 基于最小二乘支持向量机的模式识别，特征向量为滚动轴承的能量百分比和峭度系数-Pattern recognition based on least squares support vector machine (SVM), the percentage of energy eigenvector for rolling bearing and kurtosis coefficient
LSSVM
- 最小二乘支持向量机算法，用于单一数据样本的预测，也可用于模式识别。特别适用于小样本数据样本的预测。-Least squares support vector machine algorithm, is used to predict the single sample data, but also can be used for pattern recognition. Forecasting is especially suitable for small sample data.
SFLA-LSSVM
- 自己编写的 混洗蛙跳算法优化最小二乘支持向量机参数 把文件里的数据、LSSVM模型更换，就可以移植-written by Son.Y.M Shuffled frog leaping algorithm to optimize the parameters of LS-SVM The data in the file, LSSVM model replacement, you can transplant
yuce18001944
- MATLAB 最小二乘支持向量机 已知三个月的风速进行预测之后5天的风速-After MATLAB squares support vector machine known three-month forecast wind speed wind 5 days
psolssvm1
- ls-svm 最小二乘支持向量机数值分析与训练，包括蚁群算法和lssvm1.6安装-ls-svm including psolsssvm and svm1.6package
PSO_LSSVM
- 粒子群优化最小二乘支持向量机的代码。内附测试数据可直接套用。-PSO least squares support vector machine code. Enclosing the test data can be directly applied.
EMDLSSVM
- 将EMD数据分解和最小二乘支持向量机建模结合的程序-The EMD data decomposition and least squares support vector machine (SVM) modeling program
gui
- 基于最小二乘支持向量机的短期电力负荷预测GUI界面设计，可以参考学习-the Forecasting of Short-term Power Load of GUI design.
main
- 最小二乘支持向量机的分类，也可用于拟合，有范例运行结果-Least Squares Support Vector Machine can also be used to fit, there are examples of operating results
lssvmMATLAB
- 最小二乘支持向量机，采用matlab编写，可以直接使用，SVM是经典的分类和预测算法。-Squares support vector machine, using matlab prepared, can be used directly, SVM is the classic classification and prediction algorithms.
LSSVM
- 最小二乘支持向量机，程序粘到command window里，设定 2 两个参数，可以更改，以达到最优化-igam=0.001 isig2=0.001 [gam,sig2]=tunelssvm({X,Y, f ,igam,isig2, RBF_kernel },... [0.001 0.001 10000 10000], gridsearch ,{}, leaveoneout_lssvm ) type= function approximation kernel= RBF_
lssvm_code
- Matlab的最小二乘支持向量机的代码。-Matlab least squares support vector machine code.
ls_svr
- 最小二乘支持向量机是基于统计学习对小样本、非线性建模的一种完善的方法，本算法，实现了最小二乘支持向量机的回归问题的应用-LSSVM are based on small samples statistical learning, a well-established method of nonlinear modeling of this algorithm, the least squares support vector machine regression Application
my_sparse
- 稀疏性最小二乘支持向量机，针对最小二乘支持向量机缺少稀疏性的问题，以特征提取为基础提出具有稀疏性解的最小瓶二乘支持向量机-Sparsity LSSVM for LSSVM lack sparsity issues to feature extraction is proposed based on the solution of sparse least squares support vector machine bottle