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Predicting setting values for a machine to get the best result
Hi together,
I really hope someone of you can help me. At our production we try to reach the target value by changing the settings of 3 parameters. I choose rapidminer to find the best settings for the target value.
The database is from last year and has all settings and the actual values of every production. The results are changing although we use the same setting. I want to find a prediction of the best settings.
I really hope someone of you can help me. At our production we try to reach the target value by changing the settings of 3 parameters. I choose rapidminer to find the best settings for the target value.
The database is from last year and has all settings and the actual values of every production. The results are changing although we use the same setting. I want to find a prediction of the best settings.
My database looks like this:
product name
target value
actual value
setting 1
setting 2
setting 3
product name
target value
actual value
setting 1
setting 2
setting 3
I want to find the setings for every product, that the actual value is as close as possible to the target value.
I tried it with the linear progression. But I‘m not sure if this is the right way.
kind regards
I tried it with the linear progression. But I‘m not sure if this is the right way.
kind regards
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