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nnfmp
2011 Jan 05
0
Nnet and AIC: selection of a parsimonious parameterisation
...ize(CVnn1,decayRange,tol = 0.0001,formula, data, nreps=nreps,
ri=ri, size=size[j], linout=linout, skip=skip, maxit=maxit,
optimFlag=TRUE, alpha=.5)
lambdaj[j]=tlambda[[1]]
cat(" size =", size[j], "decay =", round(tlambda[[1]],3), "\n")
nntmp <- CVnn1(decay=lambdaj[j], formula, data, nreps=nreps, ri=ri,
size=size[j], alpha=alpha,
linout=linout, skip=skip, maxit=maxit,...)
choice[j]=nntmp$choice; nparam[j]=nntmp$nparam;
nparamInit[j]=nntmp$nparaminit; AIC[j]=nntmp$AIC
if (nntmp$AIC<=minAIC) nn=nntmp$nn1...