Neural Networks change the Target

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Hello. I have the next Question. After the training. How can I make the Neural Network works? Example: I train the NN, after that I make run the NN and have a result, but now I need change the Target and found a result whit the new Target without to train again?. Can yours make a example.??
Thank you
Andrew

Accepted Answer

Greg Heath
Greg Heath on 16 Jan 2016
The basic assumption is that all data can be considered to be random samples from the same input/output probability distribution. Accordingly, once a net is designed it is expected to work well for data that looks like it could have come from the same distribution as the design (training + validation)data.
Otherwise the net has to be adjusted to accommodate a broader class of data or multiple nets designed to form an ensemble which either combines the results or chooses the best net.
Hope this helps.
Thank you for formally accepting my answer
Greg
  5 Comments
ANDRES CONSIGLIO
ANDRES CONSIGLIO on 28 Jan 2016
net = feedforwardnet(20);
net.layers{1}.transferFcn = 'tansig';
net.layers{2}.transferFcn = 'purelin';
net.divideParam.trainRatio=.7;
net.divideParam.valRatio=.15;
net.divideParam.testRatio=.15;
net.trainParam.max_fail = 500;
net.trainParam.epochs = 500;
net.trainParam.goal = .001;
i=0;
fecha = datetime('now');
disp(fecha);
Input = xlsread('Ensayo',1);
Sample = xlsread('Ensayo',3);
Target = xlsread('Ensayo',2);
for n = drange(1:1)
i=i+1;
disp(i);
[net,tr] = train(net,Input,Target);
end;
Y = net(Sample);
archivo = fopen('C:\Users\D3I6\Desktop\Neurona\Salida.txt','a');
fprintf(archivo,datestr(now, 'dd-mmm-yyyy\r\n'));
fprintf(archivo,'%3.0f\r\n',Y);
fclose(archivo);
fprintf('%3.0f\n',round(Y));
fecha = datetime('now');
disp(fecha);
Greg Heath
Greg Heath on 5 Feb 2016
I see no calculation or display of error to prove that the design is acceptable.

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