How to properly train the network MPL?

3 views (last 30 days)
Dear all,
I have this code:
P = [c{1,:}];
T = [c{2,:}];
net1 = newff(P,T,20);
net1.trainparam.epochs = 100;
net = train(net1,P,T);
P = s{1,7};
Y = sim(net1,P);
After running the code, nothing happens. Just Comand Window reports name of file. Why not start training network? Does anyone have any idea? How to make this network trains?

Accepted Answer

Greg Heath
Greg Heath on 18 Mar 2015
Edited: Greg Heath on 18 Mar 2015
You seem to repeatedly make this same mistake:
net = train(net1,P,T);
Y = sim(net1,P);
Now: There are 2 nets: net1 and net
Question: which is trained and which is untrained?
PS: MLP(Multi-Layer-Perceptron), not MPL
  1 Comment
Veronika
Veronika on 19 Mar 2015
That's what I just don´t know. Because I have this piece of code created from Help in Matlab. I thought that this is the exact syntax. So I don´t know, which one is trained and which aren´t. I need to train the neural network with the given parameters (P,T) and then save this train netwok.

Sign in to comment.

More Answers (0)

Categories

Find more on Sequence and Numeric Feature Data Workflows in Help Center and File Exchange

Tags

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!