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Example of Neural Network and fuzzy logic with labVIEW

Does anyone has any kind of examples of fuzzy logic and neural network built with LabVIEW?
I am particulary interested in predicting machining outputs (cutting force, surface roughnes) starting from machining regimes (parameters such as depth of cut, speed etc.). However, any example would do ... 
 
Thank you.
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Hello RPJ,

I've found two links that you may find helpful.  The first is NI's tutorial on on Implementing Neural Networks with Labview: http://zone.ni.com/devzone/conceptd.nsf/webmain/60594267ea31f70e86256ae300813841.

The second is some example code which is just a rough example of a Neural Network Learner: http://sine.ni.com/apps/we/niepd_web_display.display_epd4?p_guid=B45EACE3EDBB56A4E034080020E74861&p_....  It is fairly old, but should still be relevant.

I hope this is helpful!  Good luck,
Megan B.
National Instruments

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Thank you Megan.

Radu

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Hello, the example (mentioned above) is in a very old LabVIEW version. How can I open it in LV 8.5 ???

Thanks.

Lukas
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Hi Lukas,

You can open a 4.1 version VI/LLB in LabVIEW 8.2 and save it there. And then you can open that file in LabVIEW 8.5. Here is a link that lists the different versions of LabVIEW and the versions they can be loaded in.

I have converted the neural files to LabVIEW 8.5 for you.

Hope this helps!
Warm regards,
Karunya R
National Instruments
Applications Engineer
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Karunya,

That's nice of you.

Coudl we have the updated files or links?

Thank you.

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Sorry. I thought I had attached them the last time
 
Warm regards,
Karunya R
National Instruments
Applications Engineer
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Warm regards,
Karunya R
National Instruments
Applications Engineer
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Karunya,

The attachements showed this time - thank you.

However, there are a lot of llb files (sub-vis I believe) missing and the applications cannot be run. You might want to save the examples as a library or make a project and zip the whole thing... ?

Just a thought.

 

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More apologies.
 
The zipped folder is in 8.2. so you shouldn't have a problem opening that in 8.5.
Warm regards,
Karunya R
National Instruments
Applications Engineer
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