How to save neural network in matlab??

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char S
char S el 30 de Jul. de 2014
Respondida: Greg Heath el 7 de Ag. de 2014
Hi,
I am using MATLAB 2013 neural network toolbox. When I test it after training, I am getting different types of results. I have to save the self generated code with the better results. How can I save it?
Pls reply

Respuesta aceptada

Greg Heath
Greg Heath el 7 de Ag. de 2014
To "run" a net means to use a saved net. There is no reason why a saved net will yield different results when it is repeatedly run on the same data.
However, if you mean to repeatedly "train" and run, then different results are to be expected because of the following defaults:
1. The data is randomly divided into trn/val/tst data.
2. Initial weights are chosen randomly.
Therefore, if you want to repeat training results, you should reset the random number generator to the same starting state before the first call to init, configure or train. Search on
greg rng(0)
Thank you for formally accepting my answer
Greg
P.S. If you are using obsolete functions like newfit, newpr or newff, you should initialize the RNG previous to the creation of the net.

Más respuestas (1)

Greg Heath
Greg Heath el 31 de Jul. de 2014
save(net) % retrieve using load(net)
Hope this helps
Thank you for formally accepting my answer
Greg
  1 comentario
char S
char S el 7 de Ag. de 2014
Editada: char S el 7 de Ag. de 2014
Thanks for the reply.But I am getting different results when I run different times . I have to save the output and should run the code in my presentaion the best output.
How can i do it? pls reply.

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