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Browsing University of Hertfordshire by Author "Yu, Fei"
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Brain-like Initial-boosted Hyperchaos and Application in Biomedical Image Encryption
Lin, Hairong; Wang, Chunhua; Cui, Li; Sun, Yichuang; Xu, Cong; Yu, Fei (2022-03-03)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. This paper focuses on the ... -
Dynamics analysis and image encryption application of Hopfield neural network with a novel multistable and highly tunable memeristor
Yao, Wei; Liu, Jiapei; Sun, Yichuang; Zhang, Jin; Yu, Fei; Cui, Li; Lin, Hairong (2023-11-18)Building artificial neural network models and studying their dynamic behaviors is extremely important from both a theoretical and practical standpoint due to the rapid advancement of artificial intelligence . In addition ... -
An Extremely Simple Multi-Wing Chaotic System: Dynamics Analysis, Encryption Application and Hardware Implementation
Lin, Hairong; Wang, Chunhua; Yu, Fei; Xu, Cong; Hong , Qinghui; Yao, Wei; Sun, Yichuang (2020-12-31)Polynomial functions have been the main barrierrestricting the circuit realization and engineering applicationof multi-wing chaotic systems (MWCSs). To eliminate thisbottleneck, we construct a simple MWCS without ... -
High-dimensional memristive neural network and its application in commercial data encryption communication
Wang, Chunhua; Tang, Dong; Lin, Hairong; Yu, Fei; Sun, Yichuang (2024-05-15)With the development of economic globalization, demands for digital business data sharing among different subsidiary companies are constantly emerging. How to achieve secure transmission of commercial data in the Internet ... -
A Triple-Memristor Hopfield Neural Network With Space Multi-Structure Attractors And Space Initial-Offset Behaviors
Lin, Hairong; Wang, Chunhua; Yu, Fei; Hong , Qinghui; Xu, Cong; Sun, Yichuang (2023-06-20)Memristors have recently demonstrated great promise in constructing memristive neural networks with complex dynamics. This paper proposes a memristive Hopfield neural network with three memristive coupling synaptic weights. ...