- Category:
- matlab
- Tags:
-
[Matlab]
[源码]
- File Size:
- 347kb
- Update:
- 2014-09-02
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- 0 Times
- Uploaded by:
- 李三
Description:
It is programmed procedures [cp, zq] = grnn (data, yy)
gaussian SVM, GRNN accuracy rate, hit rate and correct rejection rate in the 19 congenital blind as follows:
SVM GRNN
0.68421 0.73684
0.83333 0.83333
0.42857 0.57143
To Search:
File list (Check if you may need any files):
SVM-KM\AdaptScalSVM\ExampledemoAdaptScal.m
......\............\svmfit.m
......\............\gradlfixed.m
......\............\gradlbfixed.m
......\............\gradwfixed.m
......\............\costwbfixed.m
......\............\ExampleFeatSelAdaptScal.m
......\............\svmfit.asv
......\............\costlbfixed.m
......\............\SigmaUpdate.m
......\............\svmfitconj.m
......\............\gradwbfixed.m
......\............\LagrangeUpdate.m
......\............\costlfixed.m
......\............\costwfixed.m
......\featselreg\FeatSelregr2w2.m
......\..........\FeatSelregspanboundGDrandom.m
......\..........\FeatSelreglinearL1.m
......\..........\FeatSelregalphaGD.m
......\..........\FeatSelregmarginGDrandom.m
......\..........\FeatSelregalpha.m
......\..........\FeatSelregmarginGD.m
......\..........\FeatSelregr2w2GDrandom.m
......\..........\spanestimateregL2.m
......\..........\FeatSelregspanbound.m
......\..........\FeatSelregalphaGDrandom.m
......\..........\FeatSelregspanboundGD.m
......\..........\r2alpharegL2.m
......\..........\exfeatselreg1.m
......\..........\FeatSelregmargin.m
......\..........\FeatSelregr2w2GD.m
......\FeatureSelection\featselcorrcoeff.m
......\................\FeatSelmargin.m
......\................\FeatSelr2w2diff.m
......\................\FeatSelmargdif.m
......\................\FeatSelmargdif1v1.m
......\................\FeatSelr2w2.m
......\................\featselkernelderivative.m
......\kbp\exlar1.m
......\...\LAR.m
......\...\BuildTrapScale.m
......\...\exmultikernellarclass.m
......\...\exlarrealdata.m
......\...\normalizekernelLAR.m
......\...\HingeLAR.m
......\...\calcdistance.m
......\...\HingeLAR2.m
......\...\testHingeLAR.m
......\...\plot2Ddec.m
......\...\exlar.m
......\...\LARval.m
......\...\multiplekernel.m
......\...\exlarsignalclassif.m
......\...\pyrim.mat
......\...\CalcTrapScale.m
......\libsvminterface\svmvallib.m
......\...............\svmclasslib.m
......\...............\mexSVMClass.dll
......\...............\mexSVMTrain.mexglx
......\...............\mexSVMTrain.dll
......\...............\mexSVMClass.mexglx
......\regpath\TransformPathFromNu.m
......\.......\regpathsvmoneclass.m
......\.......\exregpathoneclasssvm.asv
......\.......\exregpathoneclasssvm.m
......\svmroc\svmrocCS.m
......\......\contents.m
......\......\rankboostAUCOLD.m
......\......\OLDsvmroccurve.m
......\......\rankroccurve.m
......\......\svmroc.m
......\......\rankboostAUC.m
......\......\svmrocval.m
......\......\svmroccurve.m
......\......\rankboostAUCval.m
......\utilities\DataGrid2D.m
......\.........\CreateDataAppTest.m
......\.........\normalizeinterval.m
......\.........\lambdawilks.m
......\.........\CreateCVrealdata.m
......\.........\kernelknn.m
......\.........\knn.m
......\.........\VectorizeCofSVM.m
......\.........\normalizemeanstd.m
......\.........\nfcvreg.m
......\.........\CreateDataAppTestReg.m
......\.........\nfcv.m
......\.........\normalizekernel.m
......\.........\mwustat.m
......\.........\ConfusionMatrix.m
......\.........\CreateCVtoy.m
......\.........\wstat.m
......\waveletkernelmultires\makesignalnus.m
......\.....................\exsimulframetest.m
......\.....................\TestWaveletKernel.m
......\.....................\exrealframetest.m
......\.....................\backfitting.m
......\.....................\CreateMultiLevelKernel.m
......\.....................\backfittingval.m
......\dataset3.mat
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