The neural network training doesn't represent the full range of angles & accelerations well. It only trains on the most recent samples, regardless the range they happen 2 B in. Wouldn't it be nice to have angles in each range, regardless of time.

Tried using a table of most recent angle->accel slots in every range. The result of this was horrible. The correlation seems too erratic to derive from anything but the most recent samples, but it's an intriguing algorithm to keep around.

Now we have a strange phenomenon where more training iterations make the network less reliable.



With the rainy season underway and much more money on the airframe than last year, we're rained out indefinitely.

Sometimes I fear you are passing coded messages to our enemies...

Just sayin'.