The toolbox is designed to provide t he central tools necessary for the simulation o f theoretically well founded neural network al gorithms and related models for use in teaching , research and applications development. It c ontains many techniques which are not yet avail able in standard neural network simulation pac kages

conffig.m
confmat.m
conjgrad.m
consist.m
Contents.m
datread.m
datwrite.m
dem2ddat.m
demard.m
demev1.m
demev2.m
demev3.m
demgauss.m
demglm1.m
demglm2.m
demgmm1.m
demgmm2.m
demgmm3.m
demgmm4.m
demgmm5.m
demgp.m
demgpard.m
demgpot.m
demgtm1.m
demgtm2.m
demhint.m
demhmc1.m
demhmc2.m
demhmc3.m
demkmn1.m
demknn1.m
demmdn1.m
demmet1.m
demmlp1.m
demmlp2.m
demnlab.m
demns1.m
demolgd1.m
demopt1.m
dempot.m
demprgp.m
demprior.m
demrbf1.m
demsom1.m
demtrain.m
dist2.m
eigdec.m
errbayes.m
evidence.m
fevbayes.m
gauss.m
gbayes.m
glm.m
glmderiv.m
glmerr.m
glmevfwd.m
glmfwd.m
glmgrad.m
glmhess.m
glminit.m
glmpak.m
glmtrain.m
glmunpak.m
gmm.m
gmmactiv.m
gmmem.m
gmminit.m
gmmpak.m
gmmpost.m
gmmprob.m
gmmsamp.m
gmmunpak.m
gp.m
gpcovar.m
gpcovarf.m
gpcovarp.m
gperr.m
gpfwd.m
gpgrad.m
gpinit.m
gppak.m
gpunpak.m
gradchek.m
graddesc.m
gsamp.m
gtm.m
gtmem.m
gtmfwd.m
gtminit.m
gtmlmean.m
gtmlmode.m
gtmmag.m
gtmpost.m
gtmprob.m
hbayes.m
hesschek.m
hintmat.m
hinton.m
histp.m
hmc.m

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