搜索资源列表
SVMcg
- 用matlab实现支持向量机分类算法，通过对数据进行测试训练来进行分类-Using matlab implementation support to the classification algorithms to data, through testing and training to categorize
SVMcg
- 当支持向量机进行分类时，能够通过此代码进行参数挖掘-Support vector machine classification parameters digging through this code
SVMcg
- 支持向量机参数选择，利用网格搜索法确定支持向量机的惩罚因子和RBF核参数-Support vector machine (SVM) parameters choice, the grid search method is used to determine the punishment factor and RBF kernel parameters of support vector machine (SVM)
SVMcg
- 该程序是支持向量机搜寻最佳-c和-g的函数，一般能使分类器的识别率提高几个百分点。-The program is the support vector machine search for the best-c and-g function, generally can improve the recognition rate of a few percentage points.
SVMcg
- LIBSVM的参数寻优，主要是自动计算惩罚系数和核函数中的gamma函数(The parameter optimization of LIBSVM is mainly to automatically calculate the penalty coefficient and the gamma function in the kernel function)
psoSVMcgForClass
- 用粒子群寻优SVM，从而实现对分类器的参数实现寻优(pso svmcg for class,abcpso)