ONE:
Use NARNET :
y(t) = f( y( t-d : t-1 ) )
TIMEDELAYNET requires an applied input and does not use output feedback :
y(t) = f( x( t-d : t-0 ) )
Both are special cases of NARXNET
y(t) = f( x( t-d1 : t-0 ) , y( t-d2 : t-1 ) )
NOTE: In general, MATLAB doc and/or help incorrectly treats time = 0
=============================================== TWO:
AFAIK I'm the only one that as mentioned it.
Plot abs(autocorr)) to make sure your delays make sense
=============================================== THREE:
TRAIN will randomly initialize ONLY if there are no existing weights.
If you use loops to optimize H and/or the initial weights:
After the first pass though the loop, the net will have weights. Therefore the net will not automatically initialize and you will just keep trying to improve one design!!!
Hope this helps.
Thank you for formally accepting my answer
Greg
