| Neural Network Toolbox | Search Help Desk |
| plotperf | Examples |
plotperf(tr,goal,name,epoch)
plotperf(TR,goal,name,epoch) takes these inputs,
TR - Training record returned by train.
goal - Performance goal, default = NaN.
name - Training function name, default = ''.
epoch - Number of epochs, default = length of training record.
P and associated targets T, plus a like number of validation inputs VV.P and targets VV.T.
P = 1:8; T = sin(P); VV.P = P; VV.T = T+rand(1,8)*0.1;The code below creates a network and trains it on this problem.
net = newff(minmax(P),[4 1],{'tansig','tansig'});
[net,tr] = train(net,P,T,[],[],VV);
During training plotperf was called to display the training record. You can also call plotperf directly with the final training record TR, as shown below.
plotperf(tr)