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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Hlavní autoři:	Shiriaev, E. M., Ширяев, Е. М., Bezuglova, E. S., Безуглова, Е. С., Kucherov, N. N., Кучеров, Н. Н., Valuev, G. V., Валуев, Г. В.
Médium:	Статья
Jazyk:	English
Vydáno:	Springer Science and Business Media Deutschland GmbH 2022
Témata:	Chaos theory Saito generator Ressler attractor Neurocryptography Hyperchaos Liapunov generator Lorentz attractor
On-line přístup:	https://dspace.ncfu.ru/handle/20.500.12258/19639
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo otaguje tento záznam!

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