noloop

Remove neural network open- and closed-loop feedback

Syntax

net = noloop(net)


Description

net = noloop(net) takes a neural network and returns the network with open- and closed-loop feedback removed.

For outputs i, where net.outputs{i}.feedbackMode is 'open', the feedback mode is set to 'none', outputs{i}.feedbackInput is set to the empty matrix, and the associated network input is deleted.

For outputs i, where net.outputs{i}.feedbackMode is 'closed', the feedback mode is set to 'none'.

Examples

Convert NARX Network to No Loop Form

This example shows how to create and train a NARX network. The NARX network has a standard input and an open-loop feedback output to an associated feedback input.

[X,T] = simplenarx_dataset;
net = narxnet(1:2,1:2,20);
[Xs,Xi,Ai,Ts] = preparets(net,X,{},T);
net = train(net,Xs,Ts,Xi,Ai);

view(net)

Y = net(Xs,Xi,Ai);

Now the network is converted to no loop form. The output and second input are no longer associated.

net = noloop(net);
view(net)

[Xs,Xi,Ai] = preparets(net,X,T);
Y = net(Xs,Xi,Ai);

Version History

Introduced in R2010b