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Settings of neural network

Hi all,

 

we are developping an algae reactor which is controlled by a computer with LabView and a neural network. I have found the *.vi's and tried to get this thing running. We have the following in- and outputs

 

Inputs

 

  • pH-Value
  • concentration
  • efficiency
Outputs
  • Light on/off
  • CO2 on/off
The concentration is measured with a laser/fotodiode and the efficiency is measured with two CO2-sensors(what goes in and what comes out). The data is captured by a NI USB 6008.
Now my question is: How many hidden layers should I use?
I have three possibilitys:
  1. 2
  2. 4
  3. less than 6
Kind regards
Simon, Zurich University of Applied Sciences

 

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Hi Simon,

 

I guess nobody of the National instruments support staff can help you how exactly to implement your neural network. But we can support you with all data acquisition and LabVIEW programming issues.

 

Maybe this helps you a bit:

Implementing Neural Networks with LabVIEW - An Introduction

 

Best Regards,

Andreas Stark
LabVIEW Lead @ Rocket Factory Augsburg
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