Mog
所属分类：人工智能/神经网络/深度学习
开发工具：matlab
文件大小：6994KB
下载次数：7
上传日期：2020-06-10 08:44:56
上 传 者：
ChuJW
说明： 自适应混合高斯噪声非线性回归！！！！！！！！！！！！！！！！！
(Adaptive mixed Gaussian noise nonlinear regression)
文件列表:
Robust AdaBoost based ensemble of one-class support vector machines (0, 2019-11-11)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode (0, 2016-11-23)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG (0, 2019-11-21)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo (0, 2019-11-19)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\BPNN_demo.m (602, 2016-11-10)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\Data_process.m (4092, 2016-11-17)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\Data_sample.mat (32729, 2016-11-10)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a (0, 2016-11-23)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\AFEm.m (3437, 2016-03-16)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\MLP_kernel.m (603, 2016-03-16)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\RBF_kernel.m (1105, 2016-03-16)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\bay_errorbar.m (5785, 2016-03-16)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\bay_initlssvm.m (1998, 2016-03-16)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\bay_lssvm.m (10339, 2016-03-16)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\bay_lssvmARD.m (8187, 2016-03-16)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\bay_modoutClass.m (9358, 2016-03-16)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\bay_optimize.m (5843, 2016-03-16)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\bay_rr.m (4312, 2016-03-16)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\bitreverse32.m (1479, 2016-03-16)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\changelssvm.m (5576, 2016-03-16)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\cilssvm.m (4744, 2016-03-16)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\code.m (4245, 2016-03-16)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\code_ECOC.m (5194, 2016-03-16)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\code_MOC.m (548, 2016-03-16)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\code_OneVsAll.m (361, 2016-03-16)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\code_OneVsOne.m (576, 2016-03-16)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\codedist_bay.m (2107, 2016-03-16)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\codedist_hamming.m (753, 2016-03-16)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\codedist_loss.m (2015, 2016-03-16)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\codelssvm.m (4126, 2016-03-16)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\crossvalidate.m (5847, 2016-03-16)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\crossvalidatelssvm.m (3941, 2016-03-16)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\csa.m (3188, 2016-03-16)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\demo_fixedclass.m (2251, 2016-03-16)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\demo_fixedsize.m (3233, 2016-03-16)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\demo_yinyang.m (3447, 2016-03-16)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\democlass.m (3461, 2016-03-16)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\democonfint.m (2147, 2016-03-16)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\demofun.m (3972, 2016-03-16)
Robust AdaBoost based ensemble of one-class support vector machines\DemoCode\Code-MNLR-MOG\Simulation_demo\LSSVMlabv1_8_R2009b_R2011a\demomodel.m (4772, 2016-03-16)
... ...
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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