Improving pseudo random number generator using artificial neural networks Sözde rastsal sayi üretecinin yapay sinir aǧlari ile güçlendirilmesi

Yayik A., Kutlu Y.

2013 21st Signal Processing and Communications Applications Conference, SIU 2013, Haspolat, Turkey, 24 - 26 April 2013, (Full Text) identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/siu.2013.6531494
  • City: Haspolat
  • Country: Turkey
  • Keywords: Multi-layer perceptron, Neural networks, Pseudo random number
  • Hatay Mustafa Kemal University Affiliated: Yes

Abstract

Pseudo-random number generators generate sequent of digits that cannot be expected before. Random number generators are used in lots of studies especially physical and statical implementations. In this paper; by using Multi-Layer Perceptron Neural Network, a traditional random number generator is strengthened. In the end of the study; both of random number generators are tested by some randomness tests of National Institute of Standard Technology test suite. As a result, it is learned that Neural Networks can generate good random numbers. © 2013 IEEE.