Introduction - If you have any usage issues, please Google them yourself
This package contains 6 algorithms for training cost-sensitive neural networks. They are over-sampling, under-sampling,
Packet : CSNN.rar filelist
CSNN\echocardiogram.mat
CSNN\HardEnsemble.m
CSNN\OverSampling.m
CSNN\sample_HardEnsemble_SoftEnsemble.m
CSNN\sample_OverSampling.m
CSNN\sample_SmoteOverSampling.m
CSNN\sample_ThresholdMovNN.m
CSNN\sample_UnderSampling.m
CSNN\SMOTE.m
CSNN\SmoteOverSampling.m
CSNN\SoftEnsemble.m
CSNN\ThresholdMovNN.m
CSNN\UnderSampling.m
CSNN\Utilities\CostMatrix.m
CSNN\Utilities\dist_nominal.m
CSNN\Utilities\LabelFormatConvertion.m
CSNN\Utilities\Locate.m
CSNN\Utilities\NNoutputFormat.m
CSNN\Utilities\normalize.m
CSNN\Utilities\VDM.m
CSNN\Utilities
CSNN
ReadMe.files\editdata.mso
ReadMe.files\filelist.xml
ReadMe.files\image001.gif
ReadMe.files\image002.gif
ReadMe.files\image004.jpg
ReadMe.files\image005.jpg
ReadMe.files\image006.gif
ReadMe.files\Thumbs.db
ReadMe.files
ReadMe.htm