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Thank you Fabio,
I used a backpropagation method and I used activation sigmoid function.
Is it maybe for that I have to normalize?
Da: Fábio Blessa [mailto:fabioblessa@...] Inviato: mercoledì 2 novembre 2011 19.23 A: FANN General and development discussion Oggetto: Re: [Fann-general] size ANN training input
Normalization you mean? Does it depends on the training algorithm? Having your data normalized is a good practice.
On Nov 2, 2011 2:49 PM, "Andrea_Viano" <viano@...> wrote:
Is there anyone that knows why training inputs of an ANN have to be less than 1 to have a convergence? I tried with my regular input( 10000,or 8 etc), and I had a very high and constant error. If I divided training inputs to reach numbers close to the unity I could find a solution of my ANN.
Can you help me to solve this problem?
Ing. Andrea Viano
CFD Engineering S.r.l.
Piazza della Vittoria, 7/2A - 16123 Genova (Italy)