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|    Message 805 of 1,954    |
|    Greg Heath to robertoalcantara@gmail.com    |
|    Re: Analog data in neural networks    |
|    19 Oct 05 05:16:15    |
      XPost: comp.ai.neural-nets       From: heath@alumni.brown.edu              robertoalcantara@gmail.com wrote:       > Hi all.       >       > I am a electronics student and lately I have read some articles about       > neural network, already having learned some related basic principles.       >       > However, something that still can't found on literature and did not       > imagine how it could be made is the way to insert analogical data (as       > the temperature from sensor) in a neural network. This would be made       > simply converting the signal for digital and adding the bit resultant       > of this conversion in the network? I believe that not.       >       > If somebody will be able to explain me this it will be of great. I       > need understand the process ' in the real world ' :-)       >       > Best regards,       > Roberto              I can think of no compelling reason to convert an analog signal       to digital before using it as an input to a NN. However, it probably       needs to be preprocessed w.r.t centering, scaling and editing.              See the comp.ai.neural-nets FAQ.              ftp://ftp.sas.com/pub/neural/FAQ.html.              Hope this helps.              Greg              [ comp.ai is moderated. To submit, just post and be patient, or if ]       [ that fails mail your article to |
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