Although most Artificial Neural Networks (ANN) are universal function approximators,
if we constrain their sizes, many can be relatively ineffective for certain kind of problems.
The question that motivates this study is whether we can find an ANN that can be
effective for a broader set of problems even when it is relatively compact.
