Brain-Like Initial-Boosted Hyperchaos and Application in Biomedical Image Encryption

Neural networks have been widely and deeply studied in the field of computational neurodynamics. However, coupled neural networks and their brain-like chaotic dynamics have not been noticed yet. In this article, we focus on the coupled neural network-based brain-like initial boosting coexisting hype...

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Veröffentlicht in:	IEEE transactions on industrial informatics Jg. 18; H. 12; S. 8839 - 8850
Hauptverfasser:	Lin, Hairong, Wang, Chunhua, Cui, Li, Sun, Yichuang, Xu, Cong, Yu, Fei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.12.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Biological neural networks Biomedical engineering Boosting Brain Chaos Chaos theory Encryption Entropy (Information theory) Field programmable gate arrays Field-programmable gate array (FPGA) implementation Hopfield neural network (HNN) hyperchaos Liapunov exponents medical image encryption Medical imaging memristor Memristors Neural networks Neurons Performance evaluation Synapses
ISSN:	1551-3203, 1941-0050
Online-Zugang:	Volltext
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