In: Lecture Notes in Computer Science : Artificial Intelligence and Soft Computing â “ ICAISC 2006, Volume 4029, 2006, pages 1160-1168. 2006. URL: http://dx.doi.org/10.1007/11785231121.
Abstract: The generalized net methodology was developed as a counterpart of Petri nets. The methodology allows to model different kinds of discrete dynamic systems. The basics of the theory of generalized nets is introduced and next the algorithm of generalized nets is described. Algebraic aspects of generalized nets as well as operator aspects of generalized nets are described. At the end, one possible application of generalized nets, namely for neural networks is shown. Here a neural network without any aggregation is considered.
Keywords: modeling; generalized nets; knowledge representation; neural networks.