removedelay
Remove delay to neural network’s response
Syntax
net = removedelay(net,n)
Description
net = removedelay(net,n) takes these arguments,
net | Neural network |
n | Number of delays |
and returns the network with input delay connections decreased, and output feedback delays
increased, by the specified number of delays n. The result is a network which
behaves identically, except that outputs are produced n timesteps
earlier.
If the number of delays n is not specified, a default of one delay is
used.
Examples
Remove and Add Delay to Network
This example creates, trains, and simulates a time delay network in its original form, on
an input time series X and target series T. Then the
delay is removed and later added back. The first and third outputs will be identical, while the
second result will include a new prediction for the following step.
[X,T] = simpleseries_dataset; net1 = timedelaynet(1:2,20); [Xs,Xi,Ai,Ts] = preparets(net1,X,T); net1 = train(net1,Xs,Ts,Xi); y1 = net1(Xs,Xi); view(net1)
net2 = removedelay(net1); [Xs,Xi,Ai,Ts] = preparets(net2,X,T); y2 = net2(Xs,Xi); view(net2)
net3 = adddelay(net2); [Xs,Xi,Ai,Ts] = preparets(net3,X,T); y3 = net3(Xs,Xi); view(net3)
