Death of a neural network

After mandatory procrastinating, decided to put down the recurrent neural network & use less sexy feedforward neural networks. There will B neural networks 4 proportional & rate feedback & linear equations for very small integral feedback. Add the neural & integral output to get total feedback. The neural networks are modeled after a PID equation initially & use backpropagation to adapt in flight.

The weeks of recurrent neural networks were necessary to know they couldn't be done. Got all the way to a recurrent network which could give proportional feedback on a graph, was stable in real life, & showed some memory in real life, but could not offer effective proportional feedback in real life.

Getting the integral part to work seems too need a much longer training pattern than we can afford. The amount of computing time & hand tweeking to get evolution out of it wasn't justified. The implementation is on the hard drive for when a CUDA budget appears.