Future of Information and Communication Conference (FICC) 2020
5-6 March 2020
Publication Links
IJACSA
Special Issues
Article Details
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Applying Inhomogeneous Probabilistic Cellular Au-tomata Rules on Epidemic Model
Digital Object Identifier (DOI) : 10.14569/IJARAI.2013.020407
Article Published in International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 2 Issue 4, 2013.
Abstract: This paper presents some of the results of our probabilis¬tic cellular automaton (PCA) based epidemic model. It is shown that PCA performs better than deterministic ones. We consider two possible ways of interaction that relies on a two-way split rules either horizontal or vertical interaction with 2 different probabilities causing more of the best possible choices for the behavior of the disease. Our results are a generalization of that Hawkins et al done.
Keywords: Probabilistic Cellular Automata (PCA); Epidemic modeling; Optimization.
Wesam M. Elsayed, Ahmed H. El-bassiouny and Elsayed F. Radwan, “Applying Inhomogeneous Probabilistic Cellular Au-tomata Rules on Epidemic Model” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 2(4), 2013. http://dx.doi.org/10.14569/IJARAI.2013.020407
@article{Elsayed2013,
title = {Applying Inhomogeneous Probabilistic Cellular Au-tomata Rules on Epidemic Model},
journal = {International Journal of Advanced Research in Artificial Intelligence}
doi = {10.14569/IJARAI.2013.020407},
url = {http://dx.doi.org/10.14569/IJARAI.2013.020407},
year = {2013},
publisher = {The Science and Information Organization},
volume = {2},
number = {4},
author = {Wesam M. Elsayed and Ahmed H. El-bassiouny and Elsayed F. Radwan},
}
