For Recurrent neural network ( layrecnet ) , why does the training only occur?

 Hi, I'm using layrecnet function as recurrent neural network.
The problem is that when I use this only the training can be done. (No validation, test even though I set net.divideParam.testRatio)
Other functions that consider time series do not have this problem.
Why does it happen? Is there any solution?? T.T

Help me plz.

[Greg Heath]

It is probably equation 13 because 13 implies bad luck.

[Greg Heath]

In other words:

POST THE RELEVANT CODE!

[Woohui Nam]

Here is the code!! Sorry for being late

[X,T] = simpleseries_dataset; % X = 1x19599 cell , T = 1X19599 cell

net = layrecnet(1:2,10);

[Xs,Xi,Ai,Ts] = preparets(net,X,T);

net = train(net,Xs,Ts,Xi,Ai);

Y = net(Xs,Xi,Ai);

perf = perform(net,Y,Ts)