Modeling hyperchaotic datasets for neural networks

Modeling hyperchaotic datasets for neural networks

This work is aimed at the studies related to neurocryptography. The paper represents the studies of hyperchaotic mappings and their construction based on the attractors and the research of image noise characteristics using the attractors and their performance. The conducted experiments have demonstr...

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Главные авторы:	Shiriaev, E. M., Ширяев, Е. М., Bezuglova, E. S., Безуглова, Е. С., Kucherov, N. N., Кучеров, Н. Н., Valuev, G. V., Валуев, Г. В.
格式:	Статья
语言:	English
出版:	Springer Science and Business Media Deutschland GmbH 2022
主题:	Chaos theory Saito generator Ressler attractor Neurocryptography Hyperchaos Liapunov generator Lorentz attractor
在线阅读:	https://dspace.ncfu.ru/handle/20.500.12258/19639
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