LS_SVMlab
所属分类：人工智能/神经网络/深度学习
开发工具：Fortran
文件大小：1541KB
下载次数：22
上传日期：2013-11-27 15:48:04
上 传 者：
learner2017
说明： 最小二乘支持向量机，已经亲自使用，程序可用，包含程序，数据和说明书
(Least squares support vector machine, I have personally used, the procedure can be used, including procedures, data and instructions)
文件列表:
LS_SVMlab\AFE.m (2738, 2003-02-21)
LS_SVMlab\all0416.mat (20200, 2009-04-16)
LS_SVMlab\alphaandb.m (572, 2009-03-28)
LS_SVMlab\bay_errorbar.m (5785, 2003-02-21)
LS_SVMlab\bay_initlssvm.m (2003, 2003-02-21)
LS_SVMlab\bay_lssvm.m (10345, 2003-02-21)
LS_SVMlab\bay_lssvmARD.m (8187, 2003-02-21)
LS_SVMlab\bay_modoutClass.m (9358, 2003-02-21)
LS_SVMlab\bay_optimize.m (5977, 2003-02-21)
LS_SVMlab\bay_rr.m (4178, 2003-02-21)
LS_SVMlab\buffer.mc (164, 2005-04-15)
LS_SVMlab\changelssvm.m (5632, 2003-02-21)
LS_SVMlab\code.asv (4245, 2005-04-15)
LS_SVMlab\code.m (4245, 2005-04-15)
LS_SVMlab\codedist_bay.m (2118, 2003-02-21)
LS_SVMlab\codedist_hamming.m (756, 2003-02-21)
LS_SVMlab\codedist_loss.m (2018, 2003-02-21)
LS_SVMlab\codelssvm.m (4125, 2003-02-21)
LS_SVMlab\code_ECOC.m (5197, 2003-02-21)
LS_SVMlab\code_MOC.m (550, 2003-02-21)
LS_SVMlab\code_OneVsAll.m (364, 2003-02-21)
LS_SVMlab\code_OneVsOne.m (555, 2003-02-21)
LS_SVMlab\compufun.m (734, 2009-03-28)
LS_SVMlab\Contents.m (32, 2003-03-20)
LS_SVMlab\crossvalidate.m (8174, 2003-02-21)
LS_SVMlab\data0419.mat (757, 2009-04-19)
LS_SVMlab\datatest.mat (1011, 2008-12-11)
LS_SVMlab\datatrain.mat (1606, 2008-12-11)
LS_SVMlab\deltablssvm.m (1886, 2003-02-21)
LS_SVMlab\democlass.m (3369, 2003-02-21)
LS_SVMlab\demofun.m (3864, 2003-02-21)
LS_SVMlab\demomodel.m (4748, 2005-09-13)
LS_SVMlab\demo_fixedclass.m (2259, 2003-03-11)
LS_SVMlab\demo_fixedsize.m (3099, 2003-02-21)
LS_SVMlab\demo_yinyang.m (3337, 2003-02-21)
LS_SVMlab\denoise_kpca.m (3507, 2003-02-21)
LS_SVMlab\distance.m (380, 2009-03-25)
LS_SVMlab\eign.m (3414, 2003-02-21)
LS_SVMlab\errortest.mat (391, 2008-12-11)
LS_SVMlab\errortrain.mat (561, 2008-12-11)
... ...
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