I want to train an ANN. The problem is that the input features are completely unbounded (There are no boundaries as maximum and minimum for them).
For example, the following input vectors $(42, 54354354)$ and $(0.4, 47239847329479324732984732947)$ are both valid.
I know RNNs that can add up input neurons, which are pretty similar to my case, but the number of the digits was limited in all of the implementations.
Is there a way to implement an ANN that can add up the input numbers of any magnitude?