搜索资源列表
LS-SVM-diagnostic
- 给出了基于LS一SVM故障诊断方法的实现步骤,并通过实例验证了其在复杂工业过程故障诊断中的有效性-the fault diagnostic scheme based on LS-SVM is presented. Relevant examples are given to show the availability of fault diagnosis based on LSSVM.
lssvmtest
- PSO-LSSVM灰色组合模型代码，包括对训练集的预处理、参数寻优、模型确定，实现分类-PSO-LSSVM gray combined model code, including the pre-treatment of the training set, parameter optimization, the model is determined to achieve classification
Untitled1
- lssvm多分类算法-Multi-classification algorithm
kernel_matrix_lk
- 基于lssvm的混合核函数，线性加权了线性核函数与RBF核函数。-weighted kernel function based on lssvm
lssvm-gongjuxiang
- ls-svm工具箱,用于加载文件以进行支持向量建立模型，进行仿真或预测-ls-svm toolbox
LS_SVMlab
- 本程序是SVM工具箱中最常用的LSSVM工具箱。LSSVM即最小二乘支持向量机，在机械故障分类中有着独特的优势，亲测有用！ 希望能够帮助到有需要的同学！-this is a powerful and useful program for fualt diagnosis based on SVM,called LSSVM.I hope this program will help you.good luck!
LSSVM_Fy.m.tar
- 带参数优化的lssvm程序，本程序的dat可以自由给定。-lssvm program with parameters optimized, dat the Program can be freely given.
LS_SVMlab
- 解决LSSVM的相关问题，可以用于数据集的分类和回归处理。-LSSVM solve related problems, and could be used for data collection and regression.
LSSVMlabv1_8_R2009b_R2011a
- matlab LSSVM matlab最小二乘支持向量机工具箱-matlab LSSVM
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- 最小二乘支持向量机回归分析源代码,LSSVM-Least squares support vector machine regression analysis source code
LSSVMlabv1_8_R2009b_R2011a
- 最小二乘支持向量机MATLAB工具包，MATLAB必须有这个工具包才能够运行最小二乘支持向量机的程序-LSSVM MATLAB tool kit, MATLAB must have the kit to be able to run a program LSSVM
LSSVMlabv1_8_R2009b_R2011a
- 最小二乘支持向量机工具包,可以应用于回归和分类，也可进行预测-LSSVM Kit
svm-confidence-interval
- lssvm 最小二乘支持向量机回归模型置信区间预测, 简单易用,易懂易学-least squares support vector machine
LS-SVMLab-v1.7(R2006a-R2009a)
- 数据预测与挖掘。通过MATLAB程序对lssvm算法进行仿真。-Data prediction and mining. The lssvm algorithm is simulated by MATLAB program.
LSSVMlabv1_8_R2006a_R2009a
- 多输入多输出最小二乘支持向量机，多输入多输出最小二乘支持向量回归机，-lssvm，Multi-output least-squares support vector regression machines
lssvm
- 最小二乘支持源程序向量机，用于分类识别的改进源程序，喜欢SVM的可以看下-Least squares support vector machine source code, the source code for improved classification, may look like SVM
PSO-LSSVM
- 利用改进PSO算法对LS-SVM进行参数优化，参数 和 的取值范围分别为 和 ，粒子种群数量为 25，迭代次数为 100，惯性权重因子 和 取0.9和0.1，学习因子 和 均取2。-The parameters of PS-SVM are optimized by using the improved PSO algorithm. The range of parameters is 25, the number of particles is 25, the number of iterati
PSO-LSSVM-CLASS
- 经过优化得到的参数组，利用优化的参数构建LS-SVM模型，然后使用训练样本对其进行训练。 利用训练后的LS-SVM对测试样本进行分类，-The optimized parameters are used to construct the LS-SVM model with optimized parameters, and then trained using training samples. Using the trained LS-SVM to classify the tes
LS-SVMlab1.5bw.tar
- Least square Support Vector Machine
LSSVM程序
- 改进支持相机模型对电量进行了预测，内含电量数据，易学习，易改造(An improved support camera model is used to predict the quantity of electricity, and the data contained in the battery are easy to learn and easy to transform)