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[matlabSVR

Description: 在线向量回归分析,有包涵一个例子和内定函数等-On-line vector regression analysis, there is an example of indulgence and unofficially functions, etc.
Platform: | Size: 31744 | Author: 李強 | Hits:

[Mathimatics-Numerical algorithmssvm4

Description:  -s svm类型:SVM设置类型(默认0)   0 -- C-SVC   1 --v-SVC   2 – 一类SVM   3 -- e -SVR   4 -- v-SVR   -t 核函数类型:核函数设置类型(默认2)   0 – 线性:u v   1 – 多项式:(r*u v + coef0)^degree   2 – RBF函数:exp(-r|u-v|^2)   3 –sigmoid:tanh(r*u v + coef0)   -d degree:核函数中的degree设置(针对多项式核函数)(默认3)   -g r(gama):核函数中的gamma函数设置(针对多项式/rbf/sigmoid核函数)(默认1/ k)   -r coef0:核函数中的coef0设置(针对多项式/sigmoid核函数)((默认0)   -c cost:设置C-SVC,e -SVR和v-SVR的参数(损失函数)(默认1)   -n nu:设置v-SVC,一类SVM和v- SVR的参数(默认0.5)   -p p:设置e -SVR 中损失函数p的值(默认0.1)   -m cachesize:设置cache内存大小,以MB为单位(默认40)   -e eps:设置允许的终止判据(默认0.001)   -h shrinking:是否使用启发式,0或1(默认1)   -wi weight:设置第几类的参数C为weight*C(C-SVC中的C)(默认1)   -v n: n-fold交互检验模式,n为fold的个数,必须大于等于2--s svm_type : set type of SVM (default 0) 0-- C-SVC 1-- nu-SVC 2-- one-class SVM 3-- epsilon-SVR 4-- nu-SVR -t kernel_type : set type of kernel function (default 2) 0-- linear: u *v 1-- polynomial: (gamma*u *v+ coef0)^degree 2-- radial basis function: exp(-gamma*|u-v|^2) 3-- sigmoid: tanh(gamma*u *v+ coef0) 4-- precomputed kernel (kernel values in training_instance_matrix) -d degree : set degree in kernel function (default 3) -g gamma : set gamma in kernel function (default 1/k) -r coef0 : set coef0 in kernel function (default 0) -c cost : set the parameter C of C-SVC, epsilon-SVR, and nu-SVR (default 1) -n nu : set the parameter nu of nu-SVC, one-class SVM, and nu-SVR (default 0.5) -p epsilon : set the epsilon in loss function of epsilon-SVR (default 0.1) -m cachesize : set cache memory size in MB (default 100) -e epsilon : set tolerance of termination criterion (default 0.001) -h shrinking: whether to use the shrinking heuristics, 0 or 1 (default 1) -b
Platform: | Size: 17408 | Author: little863 | Hits:

[AlgorithmSVC-and-SVR

Description: 基于SVM数据分类及回归分析,并采用不同的核函数如RBF,sigmoid,polynomial等-the data classification and regression analysis based on SVM, by using different kinds of kernel functions, for examples, RBF,sigmoid and ploynomial and so on
Platform: | Size: 69632 | Author: candies | Hits:

[matlabsvr

Description: RBF核函数编写和svr的matlab编写(RBF kernel function writing)
Platform: | Size: 2048 | Author: 小鱼_aaa | Hits:

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