I am implementing various Backpropagation algorithms for the same dataset and trying to compare the performance. I got a help from the following tutorial for the same.
I tried to plot:
1.mean square error versus execution time for each algorithm 2.time required to converge versus the mean square error convergence goal for each algorithm
Have used the following code, to create my neural network and willing to know how can i implement the above two plots.
[x, t] = bodyfat_dataset;
net = feedforwardnet(10, 'trainlm');
net = train(net, x, t);
y = net(x);