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Trends in Applied Sciences Research
  Year: 2012 | Volume: 7 | Issue: 1 | Page No.: 96-102
DOI: 10.3923/tasr.2012.96.102
 
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Fuzzy Cellular Automata Based Random Numbers Generation

Ramin Ayanzadeh, Azam S. Zavar Mousavi and Ehsan Shahamatnia

Abstract:
Due to the steady increasing trend toward computer simulations, generating random numbers has attracted many researches and several techniques have been introduced in recent years. In this study by employing fuzzy operators on the structure of cellular automata update rules a new approach has been proposed for uniformly distributed random number generation. The simulation results show that the uniformity of the proposed method is very promising. The nature of this approach also makes it very suitable for hardware implementation.
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How to cite this article:

Ramin Ayanzadeh, Azam S. Zavar Mousavi and Ehsan Shahamatnia, 2012. Fuzzy Cellular Automata Based Random Numbers Generation. Trends in Applied Sciences Research, 7: 96-102.

DOI: 10.3923/tasr.2012.96.102

URL: https://scialert.net/abstract/?doi=tasr.2012.96.102

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