How to constrain Neural Network output?
2 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
hinami
el 22 de Sept. de 2020
Respondida: Aditya Patil
el 25 de Sept. de 2020
Hi,
For my research purpose, I need to impose a constrain for the output layer. How to constrain the output values?
x = rand([3,100]);
t = rand([2,100]);
net = feedforwardnet([5 10]);
net = configure(net,x,t);
[net tr]=train(net,x,t);
mod=net(x(:,tr.testInd));
sum(mod)
>>ans =
Columns 1 through 8
1.2481 1.3790 1.2986 1.3004 1.2728 1.4082 1.2895 1.3355
Columns 9 through 15
1.3199 1.3409 1.2890 1.2890 1.3402 1.2568 1.3171
The above code is just an example.
As you can see, the sum of output values beyond 1, but I'd like to constrain the sum of the output values to be exactly equal to 1.
Could anyone help me?
0 comentarios
Respuesta aceptada
Aditya Patil
el 25 de Sept. de 2020
If you are trying to get outputs as probabilities, then you can use the softmax layer with a neural network. Feedforward network is a simple network that might not be appropriate for your task.
0 comentarios
Más respuestas (0)
Ver también
Categorías
Más información sobre Sequence and Numeric Feature Data Workflows en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!