size ANN training input

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size ANN training input

by Andrea_Viano :: Rate this Message:

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Hi,

 

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?

 

Thanks

 

Andrea

 

Ing. Andrea Viano

Industry Division

 


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            CFD Engineering S.r.l.

            Headquarters

            Piazza della Vittoria, 7/2A - 16123 Genova (Italy)

            Phone +39-010-8540050 - Fax +39-010-8631199

 



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Re: size ANN training input

by D. Cooper Stevenson-2 :: Rate this Message:

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Hi Andrea,

I have an algorithm I can provide you that will scale between 1 and 0. It's written in shell but you're welcome to it if you like.


Very Best,


-Cooper

On Wed, Nov 2, 2011 at 9:21 AM, Andrea_Viano <viano@...> wrote:

Hi,

 

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?

 

Thanks

 

Andrea

 

Ing. Andrea Viano

Industry Division

 


Logo_CFD_Engineering.jpg

 

            CFD Engineering S.r.l.

            Headquarters

            Piazza della Vittoria, 7/2A - 16123 Genova (Italy)

            Phone +39-010-8540050 - Fax +39-010-8631199

 


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--
D. Cooper Stevenson
ph:  541.971.0366
em:  cooper@...
www: http://cooper.stevenson.name



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Re: size ANN training input

by Joan Maspons-2 :: Rate this Message:

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Hello,
Some activation functions outputs such as sigmoid ones give and output between 0 and 1 or -1 and 1. If you try to get values around 10000 as a pondered summation of the inputs and the outputs range is between 0 and 1 it's impossible to get such a big values. You can take a look to the fann*scale* functions at http://leenissen.dk/fann/html/files/fann_train-h.html.

J. Maspons

2011/11/2 Andrea_Viano <viano@...>

Hi,

 

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?

 

Thanks

 

Andrea

 

Ing. Andrea Viano

Industry Division

 


Logo_CFD_Engineering.jpg

 

            CFD Engineering S.r.l.

            Headquarters

            Piazza della Vittoria, 7/2A - 16123 Genova (Italy)

            Phone +39-010-8540050 - Fax +39-010-8631199

 


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--
Joan Maspons
CREAF (Centre de Recerca Ecològica i Aplicacions Forestals)
Universitat Autònoma de Barcelona, 08193 Bellaterra (Barcelona), Catalonia
Tel +34 93 581 2915            j.maspons@...
http://www.creaf.uab.cat

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Re: size ANN training input

by Fábio Blessa :: Rate this Message:

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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:

Hi,

 

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?

 

Thanks

 

Andrea

 

Ing. Andrea Viano

Industry Division

 


Logo_CFD_Engineering.jpg

 

            CFD Engineering S.r.l.

            Headquarters

            Piazza della Vittoria, 7/2A - 16123 Genova (Italy)

            Phone +39-010-8540050 - Fax +39-010-8631199

 


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R: size ANN training input

by Andrea_Viano :: Rate this Message:

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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?

 

Andrea

 

 

 

 

 

 

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:

Hi,

 

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?

 

Thanks

 

Andrea

 

Ing. Andrea Viano

Industry Division

 


Logo_CFD_Engineering.jpg

 

            CFD Engineering S.r.l.

            Headquarters

            Piazza della Vittoria, 7/2A - 16123 Genova (Italy)

            Phone +39-010-8540050 - Fax +39-010-8631199

 


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