SVM-GUI
所属分类:matlab编程
开发工具:matlab
文件大小:599KB
下载次数:87
上传日期:2014-11-27 20:38:10
上 传 者:
pkingdream
说明: 一种GUI方式的SVM预测模型,操作简单,容易上手。
(An easy SVM model)
文件列表:
SVM预测_model\libsvmread.c (3823, 2009-04-15)
SVM预测_model\libsvmread.mexw32 (20480, 2012-08-06)
SVM预测_model\libsvmwrite.c (2123, 2009-05-01)
SVM预测_model\libsvmwrite.mexw32 (20480, 2012-08-06)
SVM预测_model\make.m (229, 2009-04-15)
SVM预测_model\Makefile (1462, 2009-04-15)
SVM预测_model\svm.cpp (62422, 2009-04-06)
SVM预测_model\svm.h (2968, 2009-04-07)
SVM预测_model\svm.obj (65048, 2012-08-06)
SVM预测_model\svmpredict.c (9050, 2009-04-15)
SVM预测_model\svmpredict.mexw32 (24576, 2012-08-06)
SVM预测_model\svmtrain.c (11377, 2009-09-06)
SVM预测_model\svmtrain.mexw32 (45056, 2012-08-06)
SVM预测_model\SVM_GUI_Start.fig (2924, 2012-08-05)
SVM预测_model\SVM_GUI_Start.m (4615, 2012-08-05)
SVM预测_model\svm_model_matlab.c (7684, 2009-04-15)
SVM预测_model\svm_model_matlab.h (201, 2007-11-23)
SVM预测_model\svm_model_matlab.obj (6294, 2012-08-06)
SVM预测_model\SVR.fig (24474, 2012-08-05)
SVM预测_model\SVR.m (65391, 2012-08-05)
SVM预测_model\TutorialForFarutoUltimate3.0.pdf (222041, 2010-01-17)
SVM预测_model\implement[by faruto]\a_template_flow_usingSVM_class.m (2835, 2010-01-24)
SVM预测_model\implement[by faruto]\a_template_flow_usingSVM_regress.m (2159, 2010-01-17)
SVM预测_model\implement[by faruto]\fasticaForSVM.m (871, 2010-01-17)
SVM预测_model\implement[by faruto]\gaSVMcgForClass.m (3778, 2010-01-21)
SVM预测_model\implement[by faruto]\gaSVMcgForRegress.m (3510, 2010-01-21)
SVM预测_model\implement[by faruto]\gaSVMcgpForRegress.m (3788, 2010-01-17)
SVM预测_model\implement[by faruto]\pcaForSVM.m (1316, 2010-01-17)
SVM预测_model\implement[by faruto]\psoSVMcgForClass.m (5717, 2010-01-24)
SVM预测_model\implement[by faruto]\psoSVMcgForRegress.m (5397, 2010-01-24)
SVM预测_model\implement[by faruto]\scaleForSVM.m (1045, 2010-01-18)
SVM预测_model\implement[by faruto]\SVC.m (4189, 2010-01-17)
SVM预测_model\implement[by faruto]\SVC_test.m (993, 2010-01-17)
SVM预测_model\implement[by faruto]\SVMcgForClass.m (2695, 2010-01-17)
SVM预测_model\implement[by faruto]\SVMcgForRegress.m (2608, 2010-01-17)
SVM预测_model\implement[by faruto]\svmplot.m (1963, 2010-01-17)
SVM预测_model\implement[by faruto]\SVR.m (5869, 2010-01-21)
SVM预测_model\implement[by faruto]\SVR_test.m (1184, 2010-01-21)
SVM预测_model\implement[by faruto]\test_for_ica_SVM.m (1126, 2010-01-17)
... ...
SVM faruto version
by faruto
Email:farutoliyang@gmail.com
2009.11.05
==================================
Content:
scaleForSVM:归一化
函数接口:
[train_scale,test_scale,ps] = scaleForSVM(train_data,test_data,ymin,ymax)
====================================
pcaForSVM:pca降维预处理
函数接口:
[train_pca,test_pca] = pcaForSVM(train,test,threshold)
====================================
fasticaForSVM:ica降维预处理
函数接口:
[train_ica,test_ica] = fasticaForSVM(train,test)
====================================
SVMcgForClass:分类问题参数寻找[grid search based on CV]
函数接口:
[bestacc,bestc,bestg] = SVMcgForClass(train_label,train,cmin,cmax,gmin,gmax,v,cstep,gstep,accstep)
SVMcgForRegress:回归问题参数寻优[grid search based on CV]
函数接口:
[mse,bestc,bestg] = SVMcgForRegress(train_label,train,cmin,cmax,gmin,gmax,v,cstep,gstep,msestep)
======================================
psoSVMcgForClass:分类问题参数寻优[pso based on CV]
函数接口:
[bestCVaccuracy,bestc,bestg,pso_option] = psoSVMcgForClass(train_label,train,pso_option)
psoSVMcgForRegress:回归问题参数寻优[pso based on CV]
函数接口:
[bestCVmse,bestc,bestg,pso_option] = psoSVMcgForRegress(train_label,train,pso_option)
=======================================
gaSVMcgForClass:分类问题参数寻优[ga based on CV]
函数接口:
[bestCVaccuracy,bestc,bestg,ga_option] = gaSVMcgForClass(train_label,train,ga_option)
gaSVMcgForRegress:回归问题参数寻优[ga based on CV]
函数接口:
[bestCVmse,bestc,bestg,ga_option] = gaSVMcgForRegress(train_label,train,ga_option)
======================================
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