Simon Haykin "Neural NetWorks" examples of the original code, very classic. I believe very useful, especially in such SVM PCA

haykin
......\bpm_dec_bnds.m
......\bpm_phi.m
......\bpm_phi_d.m
......\bpm_test.m
......\bpm_train.m
......\bsb.m
......\colmult.m
......\gha.m
......\gha_chopstak.m
......\gha_data.mat
......\gha_dispwe.m
......\gha_getcoeffs.m
......\gha_getweights.m
......\gha_intermed_res.mat
......\gha_quantcoeffs.m
......\gha_recompose.m
......\gha_unchopst.m
......\hop_data.mat
......\hop_demo.m
......\hop_flip.m
......\hop_plotdig.m
......\hop_plotpats.m
......\hop_stor.m
......\hop_test.m
......\ica.m
......\mk_data.m
......\pim.m
......\pl_circ.m
......\rbf.m
......\rbf_correct.m
......\rbf_db.m
......\rbf_mkGF.m
......\rbf_test.m
......\readme
......\sgn.m
......\shuffle.m
......\som_1d.m
......\som_2d.m
......\som_2d_demo.m
......\som_pl_map.m
......\svm_dec_bnd.m
......\svm_proymayor.m
......\svm_proymenor.m
......\svm_rbf.m
......\svm_test.m
......\thresh.m

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