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After some time playing around with weights, positions and scales I came to the conclusion that it is generally not possible to use the same weights.
The reason for this is in my opinion the inability to handle categorical data as is (Look at the Official Documentation for details). The whole structure of the weights and scales becomes somehow incomprehensible for me.
I had to retrain the network directly with OpenCV. This is sad, because I am not able to use the great crossvalidation-feature from RapidMiner to validate the classification. Furthermore the algorithms for training seem to work quite different, so I get a different network.
If someone has a solution for importing the weights to OpenCV in the future, please let me know.
