Main Content

adddelay

Add delay to neural network response

collapse all in page

Syntax

net = adddelay(net,n)

Description

net = adddelay(net,n) takes these arguments,

net

Neural network

n

Number of delays

and returns the network with input delay connections increased, and output feedback delays decreased, by the specified number of delays n. The result is a network that behaves identically, except that outputs are produced n timesteps later.

If the number of delays n is not specified, a default of one delay is used.

Examples

collapse all

Open Live Script

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);

Figure Neural Network Training (05-Sep-2024 18:41:19) contains an object of type uigridlayout.

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)

Version History

Introduced in R2010b

See Also

| |