Pseudo-random number generator based on neural network

In this paper we consider pseudo-random uniformly distributed number generators, such as xorshif t and KISS. We also provide C++ implementation source code snippets of these algorithms and the results of tests made with dieharder utility. We also mention the possibility of parallelization and briefly discuss the idea of neural networks usage for pseudo-random numbers generation. © 2018 Migran N. Gevorkyan, Anastasia V. Demidova, Anna V. Korolkova, Dmitry S. Kulyabov, Leonid A Sevastianov, Ivan M. Gostev.

Авторы
Gevorkyan M.N. 1 , Demidova A.V. 1 , Korolkova A.V. 1 , Kulyabov D.S. 1, 2 , Sevastianov L.A. 1, 3 , Gostev I.M. 4
Сборник материалов конференции
CEUR Workshop Proceedings
Издательство
CEUR-WS
Язык
Английский
Страницы
568-572
Статус
Опубликовано
Том
2267
Год
2018
Организации
  • 1 Department of Applied Probability and Informatics, Peoples' Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation
  • 2 Laboratory of Information Technologie, Joint Institute for Nuclear Research, 6 Joliot-Curie, Dubna, Moscow Region, 141980, Russian Federation
  • 3 Bogoliubov Laboratory of Theoretical Physics, Joint Institute for Nuclear Research, 6 Joliot-Curie, Dubna, Moscow Region, 141980, Russian Federation
  • 4 Department of Information Systems and Digital Infrastructure Management, National Research University Higher School of Economics, 20 Myasnitskaya Str., Moscow, 101000, Russian Federation
Ключевые слова
Algorithm parallelization; Neural networks; Pseudo-random numbers; Pseudo-random numbers generation
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