Begun testing the 'Population' class. Conclusion: successful, but not optimal.

Tested the genetic, democratic MLP algorithm with simple data sets -
XOR, the simplest, and a few other arbitrary variations. No bugs have
become evident; however, it seems that complexity may become a burden
durng longer periods of training. This is likely because of iteration
matching - a process that could potentially be replaced. Mutation rates
were left at default and should be optimized later.