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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
Date:	2024
Main Authors:	Lesyk, V.O., Doroshenko, A.Yu.
Format:	Article
Language:	Ukrainian
Published:	PROBLEMS IN PROGRAMMING 2024
Subjects:	recursive neural networks pseudorandom number generator number sequence generation imitation TensorFlow UDC 004.421.5
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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