How to interpret the performance graph in NN Toolbox ?

I have created a neural network with 53 inputs and 7 outputs with 10 hidden layers. I need the performance graph with MSE vs Epochs for training only. What is the meaning of all three graphs showing there. ? I did not understand the red graph and the green one. How to plot MSE vs Epochs for training ? the blue one alone. Somebody please help....

Answer 1

[Greg Heath]

The data division indices are stored in the structure tr ...

 [ net tr y e ] = train(net, x, t );

 Data is automatically divided into 

 training data used to calculate the weights

 nontraining validation data used to help make sure that the performance trend of nontraining  data is improvement. If not for 6 straight epochs, training will be stopped. (green curve)

 nontraining test data used to obtain an unbiased estimate of performance on unseen data. (red curve)

To plot only the training data

plot( y(tr.trainInd) );

However, the training data is highly biased, especiall if the number of training equations is not much larger than the number of unknown weights.

That is why supervisors and clients only care about performance on test data.

Hope this helps.

Greg