"Not very desirable" is not very helpful. Need a numerical measure. For example
NMSE = mse(target-output)/var(target,1) % Normalized mean-square-error
NEWFF with the (minmax ... syntax has been obsolete for 10 yrs or so.
NEWFF with the (input,target,... syntax has been obsolete for 5 yrs or so.
What version of the NNToolbox are you using? Do you have FITNET?
[I N ] = size(input) % [ 6 365 ]
[O N ] = size(target) % [ 1 365 ]
Ntrn = N-2*round(0.15*N) % 255 (default 70% training examples)
Ntrneq = Ntrn*O % 255 training equations
% Nw = (I+1)*H + (H+1)*O % Number of unknown weights
% Ntrneq > Nw <==> H <= Hub % "u"pper "b"ound
Hub = -1+ceil((Ntrneq-O)/(I+O+1)) % 31
Try 10 or more multiple designs with H as small as possible (H << Hub is highly desirable but not necessary). For each value of H create 10 designs with different random initial weights and data divisions.
For many, many examples search the NEWSGROUP and ANSWERS using
greg Hmin:dH:Hmax Ntrials
Hope this helps.
Thank you for formally accepting my answer
Greg
