Introduction - If you have any usage issues, please Google them yourself
Simon Haykin "Neural NetWorks" examples of the original code, very classic. I believe very useful, especially in such SVM PCA
Packet : 91332000haykin_nn.rar filelist
haykin\gha_recompose.m
haykin\gha_unchopst.m
haykin\bpm_dec_bnds.m
haykin\bpm_phi.m
haykin\bpm_phi_d.m
haykin\bpm_test.m
haykin\bpm_train.m
haykin\bsb.m
haykin\colmult.m
haykin\gha.m
haykin\gha_chopstak.m
haykin\gha_data.mat
haykin\gha_dispwe.m
haykin\gha_getcoeffs.m
haykin\gha_getweights.m
haykin\gha_intermed_res.mat
haykin\gha_quantcoeffs.m
haykin\hop_data.mat
haykin\hop_demo.m
haykin\hop_flip.m
haykin\ica.m
haykin\hop_stor.m
haykin\hop_plotdig.m
haykin\hop_plotpats.m
haykin\hop_test.m
haykin\mk_data.m
haykin\pim.m
haykin\pl_circ.m
haykin\rbf.m
haykin\rbf_correct.m
haykin\rbf_db.m
haykin\rbf_mkGF.m
haykin\rbf_test.m
haykin\readme
haykin\sgn.m
haykin\shuffle.m
haykin\som_1d.m
haykin\som_2d.m
haykin\som_2d_demo.m
haykin\som_pl_map.m
haykin\svm_dec_bnd.m
haykin\svm_proymayor.m
haykin\svm_proymenor.m
haykin\svm_rbf.m
haykin\svm_test.m
haykin\thresh.m
haykin