How can i make a closed loop NarxNet with feedback of predicted values?
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Luis Ignacio Ruiz
on 13 Jan 2016
Commented: Greg Heath
on 23 Jan 2016
Hi, i´m trying to make a closed-loop Narxnet feedbacking future values. I mean, with feedback of (y+1) or (y+5), but i can´t find a way to do it. I supposed that using the feedback delay with a positive number i could manage it, but i´m not sure if this is correct: net = narxnet(0,5,20); %20 neurons, 0 delay input, y+5 feedback? Instead of delaying it with 1:d
Thank you beforehand
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Accepted Answer
Greg Heath
on 22 Jan 2016
"but once predicted, feedback them"
That is exactly what narxnet does. The default values ID,FD = (1:2,1:2) yield
1. y(t) = f( x(t-1), x(t-2), y(t-1), y(t-2)) for t >= 3
which can also be interpreted as
2. y(t+3) = f( x(t+2), x(t+1), y(t+2), y(t+1)) for t>= 0
The nondefault input ID = 0:2 adds x(t) to the RHS of 1
The nondefault input FD = 0:2 adds y(t) to the RHS of 1 for OPENLOOP ONLY!!!
FD = 0 is not allowed for CLOSELOOP. Any attempt to do so will result in either an ERROR, or the command is ignored.
Hope this helps.
Thank you for formally accepting my answer
Greg
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More Answers (2)
Greg Heath
on 17 Jan 2016
Read
help narxnet
doc narxnet
See posted examples in both the NEWSGROUP and ANSWERS
greg narxnet
greg narxnet tutorial
Reading the latest ones first may help.
Greg Heath
on 22 Jan 2016
If you find a way to feedback signals before they are created,
CONTACT ME IMMEDIATELY!!!
I'LL MAKE US BOTH VERY, VERY, WEALTHY!!!
Greg
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