demofun

代码说明：

  This is a simple demo, solving a simple regression task using LS-SVMlab. A dataset is constructed in the right formatting. The data are represented as matrices where each row contains one datapoint. In order to make an LS-SVM model, we need 2 extra parameters: gamma (gam) is the regularization parameter, determining the trade-off between the fitting error minimization and smoothness of the estimated function. sigma^2 (sig2) is the kernel function parameter of the RBF kernel. The parameters and the variables relevant for the LS-SVM are passed as one cell. This cell allows for consistent default handling of LS-SVM parameters and syntactical grouping of related arguments.

文件列表：

demofun
.......\changelssvm.m,2268,2007-06-01
.......\demofun.m,843,2015-01-18
.......\initlssvm.m,2743,2007-06-01
.......\kernel_matrix.m,1248,2007-06-01
.......\lssvmMATLAB.m,2996,2007-06-01
.......\plotlssvm.m,7014,2007-06-01
.......\postlssvm.m,3574,2007-06-01
.......\prelssvm.m,4964,2007-06-01
.......\simlssvm.m,4558,2007-06-01
.......\trainlssvm.m,4908,2007-06-01