Production chain modeling based on learning flow stochastic petri nets-Reference-Cited by-同舟云学术

Production chain modeling based on learning flow stochastic petri nets

Published:2024-09-11 Issue: Volume: Page:
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Mesmia Walid Ben^ORCID,Barkaoui Kamel

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00500-024-09865-y.pdf

Reference35 articles.

1. artificial-intelligence/machine-learning, (2023) https://www.oracle.com/fr/artificial-intelligence/machine-learning/what-is-machine-learning/. Accessed: 2023-09-11

2. Bahramian A, Parastesh F, Pham Viet-T, Kapitaniak T, Jafari S, Perc M (2021) Collective behavior in a two-layer neuronal network with time-varying chemical connections that are controlled by a Petri net. Chaos Interdiscip J Nonlinear Sci 31(3): 2021. https://pubs.aip.org/aip/cha/article-abstract/31/3/033138/1059464/Collective-behavior-in-a-two-layer-neuronal?redirectedFrom=fulltext

3. Ben Mesmia W, Escheikh M, Barkaoui K (2020) DevOps Workflow verification and duration prediction using non-markovian stochastic petri nets. J Softw Evol Proc 2020. https://doi.org/10.1020/smr.2329

4. Ben Mesmia W, Marzougui B, Barkaoui K, (2016) Petri Nets for Mobile Agent: Theory and Application. In: Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, Springer International Publishing, https://doi.org/10.1007/978-3-319-56991-817

5. Benoit R, Dominique B, Rene K (2018) Fondements des analyses de flux de matieres et d energie et typologies d applications pour la gouvernance des territoires et des organisations, journals.openedition, https://doi.org/10.4000/vertigo.20822 [accessed: 2023-08-11]