It worked!  Learning schedule, as described in previous commit, worked very well.  The 3 class mappings were nicely integrated via the self-consistency network/learning algorithm.

Tried using 3 neurons in each hidden layer.  It worked, but with some parameter tuning.  Also, brings-up a range of possible initial training scenarios where oebp learns problematic hyperplanes where the hyperplanes are "not self-consistent."