plotresponse

(To be removed) Plot dynamic network time series response

plotresponse 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

plotresponse(t,y)
plotresponse(t1,'name',t2,'name2',...,y)
plotresponse(...,'outputIndex',outputIndex)


Description

plotresponse(t,y) takes a target time series t and an output time series y, and plots them on the same axis showing the errors between them.

plotresponse(t1,'name',t2,'name2',...,y) takes multiple target/name pairs, typically defining training, validation and testing targets, and the output. It plots the responses with colors indicating the different target sets.

plotresponse(...,'outputIndex',outputIndex) optionally defines which error element is being correlated and plotted. The default is 1.

Examples

Plot Target and Output Time Series Data

This example shows how to use a NARX network to solve a time series problem.

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

Y = net(Xs,Xi,Ai);
plotresponse(Ts,Y)

Version History

Introduced in R2010b

R2026a: plotresponse will be removed

plotresponse will be removed in a future release.

To learn more about visualization workflows, see these examples and topics:

• Deep Learning Visualization Methods

• Explore Network Predictions Using Deep Learning Visualization Techniques

• Deep Learning Metrics

• Monitor Deep Learning Training Progress

• ROC Curve and Performance Metrics

For more information, see Transition Legacy Neural Network Code to dlnetwork Workflows.