Performance Analysis of Communication Systems with Non-Markovian Stochastic Petri Nets
Performance Analysis of Communication Systems with Non-Markovian Stochastic Petri Nets
Extending Neural Networks for B-Spline Surface Reconstruction
ICCS '02 Proceedings of the International Conference on Computational Science-Part II
A New Artificial Intelligence Paradigm for Computer-Aided Geometric Design
AISC '00 Revised Papers from the International Conference on Artificial Intelligence and Symbolic Computation
Functional networks for B-spline surface reconstruction
Future Generation Computer Systems
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Petri nets are receiving increasing attention from the scientific community during the last few years. They provide the users with a powerful formalism for describing and analyzing a variety of information processing systems such as finite-state machines, concurrent systems, multiprocessors and parallel computation, formal languages, communication protocols, etc. Although the mathematical theory of Petri nets has been intensively analyzed from several points of view, the symbolic computation of these nets is still a challenge, particularly for general-purpose computer algebra systems (CAS). In this paper, a new Mathematicapackage for dealing with some Petri nets is introduced.