Why not train neural network newff?

Dear all,

I have this code for training neural network (type newff) and MATLAB is almost all day busy, but nothing happens (no training newff). Does anyone know, where is the mistake?

load ('trenovaci_modely2_stredni')
D = [stredni_tvar{1,:}];
F = [stredni_tvar{2,:}];
net_stredni_MLP = newff(D,F,20);
net.trainparam.epochs = 100;
net = train(net_stredni_MLP,D,F);
D = stredni_tvar{1,7};
J = sim(net_stredni_MLP,D);
save net_stredni_MLP
disp('Neuronová síť byla uložena')

Thank you for your answers.

Answer 1

[Greg Heath]

 load ('trenovaci_modely2_stredni')
 D = [stredni_tvar{1,:}];
 F = [stredni_tvar{2,:}];

 [ I N ] = size(D)   % = ?
 [ O N ] = size(F)   % = ?

 net_stredni_MLP = newff(D,F,20);
 net.trainparam.epochs = 100;
 net = train(net_stredni_MLP,D,F);

% The trained model is net, NOT net_stredni_MLP!

% D = stredni_tvar{1,7}; DELETE

 D7 = D(1,7)  % WHY JUST ONE POINT??

% J = sim(net_stredni_MLP,D); DELETE

% save net_stredni_MLP DELETE

 J7 = sim( net, D7); % Only 1 point
 J  = sim( net, D );    % N points
 save net

 disp('Neuronová síť byla uložena')

Hope this helps.

Thank you for formally accepting my answer

Greg

[Veronika]

Thank you, but still nothing, only "busy"... Regarding size: Command Window returns this:

[I N] = size(D) % = 

I =

       1

N =

       1

>> [O N] = size(F)% =

O =

       1

N =

       1

In a workspace:

 D is <208x1 double> and F is <256x301 double>.

[Greg Heath]

Your workspace dimensions do not make sense. If you have one O-dimensional target vector for each I-dimensional input vector, then at least one of the dimensions of the input matrix and target matrix has to be the same. Then, transposing if you have to

 [ I N ] = size(input)   
 [ O N ] = size(target)

What is

 size(stredni_tvar)?

[Veronika]

I know, but I don´t know what´s wrong. Because when I used different images in EIDORS (doesn´t matter) in workspace:

input D <208x301 double> and target F <64x301 double>.

Command Window returns:

[I N] = size(D)

I =

     208

N =

     301

[O N] = size(F)

O =

      64

N =

     301

 So the neural network trains good. I think, that I did it exactly the same way. So I don´t know, where is mistake. Regarding size of stredni_tvar:

size (stredni_tvar)

ans =

       2   301