No BSD License
-
A=bpm_dec_bnds(W1, b1, W2, b2...
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B=colmult(A, vec)
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B=sgn(A)
function B=sgn(A)
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C=mk_data(pats)
function C=mk_data(pats)
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D=gha_chopstak(P,rm,cm)
function D=gha_chopstak(P,rm,cm)
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I=gha_recompose(coeffs,W,mval)
I=recompose(coeffs,W,mval)
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I=gha_unchopst(X,r,c,rm,cm)
function I=gha_unchopst(X,r,c,rm,cm)
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K=gha_dispwe(W,j)
function K=gha_dispwe(W,j)
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M=thresh(A,ll,ul)
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W=gha(P,epochs,m,beta,W)
function W=gha(P,epochs,m,beta,W)
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W=gha_getweights(Image,epochs...
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W=hop_stor(P)
function W=hop_stor(P)
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[P, flip]=hop_flip(P, prob, s...
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[W1, b1, W2, b2, ep_err, init...
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[W_out, p_out]=som_1d(P, nsof...
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[W_out, p_out]=som_2d(P, nsof...
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[cor, uncor, O, dec]=bpm_test...
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[pesos,vect,b]=svm_rbf2(datos...
% [pesos,vect,b]=svm_rbf(datos,escala,niter,cad,restric);
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[s, count, M]=hop_test(W,x,up...
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b=phi(a)
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b=phi_d(a)
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c=bsb(x,beta,multi)
function c=bsb(x,beta)
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coeffs=gha_getcoeffs(Orig,W,p...
function coeffs=gha_getcoeffs(Orig,W,plot_flg)
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gha_quantcoeffs(C,W,O,n)
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hop_plotdig(P,r,c,stri)
function hop_plotdig(P,r,c)
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hop_plotpats(P)
function hop_plotpats(P)
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out=pl_circ(cen, radius, res,...
function out=pl_circ(cen, radius, res, plot_flag)
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p=rbf_correct(y,d)
p - percent correct in two class problem
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pim(Z)
function pim(Z)
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rbf(x, t, d, sigma, lam)
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rbf_db(w, t, sigma, st_sz)
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rbf_mkGF(x,t)
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rbf_test(w, x, t, sigma)
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shuffle(n1,n2,n3,n4,n5)
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som_pl_map(A,p1,p2, P1, P2)
function som_pl_map(A,p1,p2)
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svm_dec_bnd(pesos, vect, b, e...
function svm_dec_bnd(pesos, vect, b, escala)
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svm_test(data, pesos, vect, b...
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y=proymayor(x,threshold,relax)
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y=proymenor(x,threshold,relax)
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hop_demo.m
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ica.m
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som_2d_demo.m
-
View all files
Neural Networks: A Comprehensive Foundation, 2e book Companion Software
by Simon Haykin
12 Nov 2004
(Updated 12 Nov 2004)
Companion Software for Neural Networks: A Comprehensive Foundation, 2e book
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| File Information |
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Companion Software for the Neural Networks: A Comprehensive Foundation, 2e book by Simon Haykin |
| MATLAB release |
MATLAB 5.2 (R10)
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