"Function Fitting, Function approximation and Curve fitting.
Function fitting is the process of training a neural network on a set of inputs in order to produce an associated set of target outputs. Once the neural network has fit the data, it forms a generalization of the input-output relationship and can be used to generate outputs for inputs it was not trained on.
simplefit_dataset - Simple fitting dataset."
If you want to measure how long it takes to train the network, then you can use
start_t = tic;
net = train(net,x,t);
train_time_spent = toc(start_t);
This will not tell you how much of the time is spent training and how much is spent testing; I do not think those are measured separately. Though for this network, perhaps
start_t = tic;
y = net(x);
simulate_time_spent = toc(start_t);
might be enough for your purposes.
