  Artificial Neural Networks (ANNs) were used to classify neural network flows
by flow size. After training the neural network was able to predict the size of
a flows with 87% accuracy with a Feed Forward Neural Network. This demonstrates
that flow based routers can prioritize candidate flows with a predicted large
number of packets for priority insertion into hardware content-addressable
memory.
