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I have a list of configurations. Each configuration contains a number of parameters. The parameters have the same name but sometimes different values. I now want a neural network, that can detect, which Parameters always have the same value when Parameter 1 has value 'A'.
I want to find out which Parameters are "related", so which parameters always change together and have always the same pair of values.

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That's easy. Find all configurations where parameter 1 has value A; throw away all the rest. Now you can easily test whether all the remaining parameters have the same value for parameter 2 (just scan through them and see if they all have the same value as the first); you can do that for parameter 3; and so on. No fancy algorithm is needed -- it's straightforward to program with a simple linear scan.

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