Contents

plotinerrcorr

Plot input to error time-series cross correlation

Syntax

plotinerrcorr(x,e)
plotinerrcorr(...,'inputIndex',inputIndex)
plotinerrcorr(...,'outputIndex',outputIndex)

Description

plotinerrcorr(x,e) takes an input time series x and an error time series e, and plots the autocorrelation of inputs to errors across varying lags.

plotinerrcorr(...,'inputIndex',inputIndex) optionally defines which input element is being correlated and plotted. The default is 1.

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

Examples

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