You have a single I = O = 3 dimensional series with N = 2100 timesteps. You have successfully designed a NARNET with NFD = 4 feedback delays and H = 20 hidden neurons. This results in
Nw = net.numWeightElements = (NFD*O+1)*H+(H+1)*O = 323
Now you wish to design a net using GA. Is that correct?
Are you able to obtain acceptable designs with H < 20 ? ... The fewer, the better.
The NNToolbox does not have a genetic algorithm. However, there are posts that deal with GA designs for a non-timeseries net. Try searching the NEWSGROUP and ANSWERS using
or
Hope this helps.
Greg
Best Answer