ploterrcorr

(To be removed) Plot autocorrelation of error time series

ploterrcorr 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

ploterrcorr(error)
ploterrcorr(errors,'outputIndex',outIdx)

Description

ploterrcorr(error) takes an error time series and plots the autocorrelation of errors across varying lags. The autocorrelation at zero lag is equal to the mean-squared error.

ploterrcorr(errors,'outputIndex',outIdx) uses the optional property name/value pair to define which output error autocorrelation is plotted. The default is 1.

Examples

Plot Autocorrelation of Errors

Here a NARX network is used 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);

Figure Neural Network Training (24-Jan-2026 18:16:04) contains an object of type uigridlayout.

Y = net(Xs,Xi,Ai);
E = gsubtract(Ts,Y);
ploterrcorr(E)

Figure Error Autocorrelation (ploterrcorr) contains an axes object. The axes object with title Autocorrelation of Error 1, xlabel Lag, ylabel Correlation contains 4 objects of type bar, line. These objects represent Correlations, Zero Correlation, Confidence Limit.

Version History

Introduced in R2010b

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See Also

| (Statistics and Machine Learning Toolbox) | (Statistics and Machine Learning Toolbox) | | |

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