A 6D Fractional-Order Memristive Hopfield Neural Network and its Application in Image Encryption

A 6D Fractional-Order Memristive Hopfield Neural Network and its Application in Image Encryption

This paper proposes a new memristor model and uses pinched hysteresis loops (PHL) to prove the memristor characteristics of the model. Then, a new 6D fractional-order memristive Hopfield neural network (6D-FMHNN) is presented by using this memristor to simulate the induced current, and the bifurcati...

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Bibliographic Details
Main Authors: Fei Yu, Xinxin Kong, Huifeng Chen, Qiulin Yu, Shuo Cai, Yuanyuan Huang, Sichun Du
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Physics
Subjects:
chaotic system
fractional-order
Hopfield neural network
memristor
bifurcation
image encryption
Online Access:https://www.frontiersin.org/articles/10.3389/fphy.2022.847385/full

Internet

https://www.frontiersin.org/articles/10.3389/fphy.2022.847385/full

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