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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محفوظ في:

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Shiriaev, E. M., Ширяев, Е. М., Bezuglova, E. S., Безуглова, Е. С., Kucherov, N. N., Кучеров, Н. Н., Valuev, G. V., Валуев, Г. В.
التنسيق:	Статья
اللغة:	English
منشور في:	Springer Science and Business Media Deutschland GmbH 2022
الموضوعات:	Chaos theory Saito generator Ressler attractor Neurocryptography Hyperchaos Liapunov generator Lorentz attractor
الوصول للمادة أونلاين:	https://dspace.ncfu.ru/handle/20.500.12258/19639
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

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