Nested subsystems in a control model for the urinary bladder

In the research of neural network models for the control of the urinary bladder, a nested set of subsystems is suggested. The subsystems, represented as a set of layers in a neural network, can be trained separately on different optimization criteria. In this way, physiological relevance of the system parameters can be studied.