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Details for article 16 of 25 found articles
| Title: |
Innovative Approach to Generate Uniform Random Numbers Based on a Novel Cellular Automata |
| Author: |
R. Ayanzadeh K. Hassani Y. Moghaddas H. Gheiby S. Setayeshi |
| Appeared in: |
Journal of applied sciences |
| Paging: | Volume 9 (2009) nr. 22 pages 4071-4075 |
| Year: |
2009 |
| Contents: |
Generating random numbers plays outstanding role in computer simulations. Most applications demand for uniform random numbers more than other distributions. In this study concept of two-layer cellular automata and a novel neighborhood structure are introduced. According to these concepts, a novel approach for uniform random number generating is proposed. First layer consists of binary cellular automata which are responsible for activation and inactivation of cells in next layer. A cellular automaton with integer values is used for second layer. Interaction between layers of represented cellular automata leads to a dynamic and complex behavior of proposed model. To evaluate the quality of proposed model, several simulations were implemented. Results prove that two-layer cellular automata generate better uniform random numbers in comparison with MATLAB. Simulation of innovative RNG based on cellular automata, shows promising results, which encourage further research with the proposed techniques in this and related domains. |
| Publisher: |
Asian Network for Scientific Information (provided by DOAJ) |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 16 of 25 found articles
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