removedelay
(To be removed) Remove delay to neural network’s response
removedelay will be removed in a future release. For more information,
see Transition Legacy Neural Network Code to dlnetwork Workflows.
For advice on updating your code, see Version History.
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
This example shows how to create, train, and simulate 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.
Time Delay
[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)
Remove Delay
net2 = removedelay(net1); [Xs,Xi,Ai,Ts] = preparets(net2,X,T); y2 = net2(Xs,Xi); view(net2)
Add Delay
net3 = adddelay(net2); [Xs,Xi,Ai,Ts] = preparets(net3,X,T); y3 = net3(Xs,Xi); view(net3)
