Generalized nets in neurology: an example of mathematical modelling
Songhyun Kim, Krassimir Todorov Atanassov, Anthony G. Shannon · International Journal of Mathematical Education in Science and Technology · 2000
The purpose of this paper is to explain the basic theory of generalized nets (GNs) and their applications in the context of the differential diagnosis of neurological diseases. We define formally the concepts of a GN and transitions of a GN and also outline some remarks on their theory. The work here constructs an example which aims to trace the process of diagnosing different signs and symptoms in neurology. This will enable the interested reader to see the scope of nets in general as tools for the modelling, simulation, optimization and control of real processes.