haykin of neural network theory, including pdf files and books with the matlab source

haykin神经网络原理_0\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
....................\神经网络原理_0.pdf
....................\haykin
haykin神经网络原理_0

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