An alternative structure to full pyramids
is shown which requires fewer pRAMS.The input pyramidal layer(s) would normally be trained first and act as feature
detectors.
The output pyramids are trained seprately as full discriminators (unary coding)
or as a set (binary coding).
The error function is calculated according to the output coding selected and
from this, the reward and penalty signals are calculated by external
circuits.