Neural network application to pseudorandom sequence generation simulation

• Veröffentlicht in: PROBLEMS IN PROGRAMMING
• Datum: 2024
• Heft: 2-3
• Сторінки: 280-287
• ISSN: 1727-4907
• Автори та афіліації: V.O. Lesyk — Institute of Software Systems NAS of Ukraine; A.Yu. Doroshenko — Institute of Software Systems NAS of Ukraine
• Hauptverfasser: Lesyk, V.O., Doroshenko, A.Yu.
• Format: Artikel
• Sprache: Ukrainisch
• Veröffentlicht: PROBLEMS IN PROGRAMMING 2024
• Schlagworte: recursive neural networks; pseudorandom number generator; number sequence generation imitation; TensorFlow; UDC 004.421.5
• Online Zugang: https://pp.isofts.kiev.ua/index.php/ojs1/article/view/647
• Назва журналу: Problems in programming

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...