what is the simplefit_dataset in this code??? and how i give the feature extracted value for this code in testing and triaining time???? pls help to solve this?????

[x,t] = simplefit_dataset;
net = feedforwardnet(10);
net = train(net,x,t);
view(net)
y = net(x);
perf = perform(net,y,t)

Answer 1

[Walter Roberson]

https://www.mathworks.com/help/nnet/gs/neural-network-toolbox-sample-data-sets.html

"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.

[Greg Heath]

See the documentation

 help nndata
 doc nndata

for a list of all the nndata. If you wish to see them, obtain the trn/val/tst indices from the training record tr

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

Then you can plot the 3 division subsets of t and y vs x in different colors.

Hope this helps.

Greg