Neural network application to pseudorandom sequence generation simulation

The article discusses the methodology of using neural networks to simulate pseudorandom sequences, which allows finding the hidden structure and sequence algorithms to reduce the observed processes to deterministic ones. To improve the quality of simulation of sequences of generated numbers, models...

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Bibliographic Details
Published in:PROBLEMS IN PROGRAMMING
Date:2024
Issue:2-3
Pages:280-287
ISSN:1727-4907
Author Affiliations:
  • V.O. Lesyk — Institute of Software Systems NAS of Ukraine
  • A.Yu. Doroshenko — Institute of Software Systems NAS of Ukraine
Keywords:генератор псевдовипадкових чисел, tensorflow, імітація генерації послідовностей чисел, рекурсивні нейронні мережі, генеративні нейронні мережі, нейронні мережи, імпульсна нейронна мережа, генератор слідів біляче колесо, нейроні мережі, нейронна мережа
Main Authors: Lesyk, V.O., Doroshenko, A.Yu.
Format: Article
Language:Ukrainian
Published: PROBLEMS IN PROGRAMMING 2024
Subjects:
Online Access:https://pp.isofts.kiev.ua/index.php/ojs1/article/view/647
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Journal Title:Problems in programming
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Problems in programming