西华大学学报（自然科学版）2026，Vol.45Issue(1)：20-30,11.DOI:10.12198/j.issn.1673-159X.6086
含忆阻电磁辐射的离散混沌神经网络动力学分析及其图像加密应用
Dynamical Analysis and Image Encryption Application of Discrete Chaotic Neural Networks with Memristive Electromagnetic Radiation
摘要
Abstract
Memristor can enhance the nonlinearity of neural networks,enabling them to exhibit com-plex and diverse dynamic behaviors.This paper simulates external electromagnetic radiation in neural net-works and constructs a new memristive neural network by using a discrete memristor.Numerical analysis results show that,as parameters vary,the proposed network can undergo complex bifurcation processes,leading to the formation of periodic,chaotic,and hyperchaotic attractors.Meanwhile,the network exhibits parameter-relied signal modulation behaviors,such as amplitude control and offset-boosting.As the initial values change,the network can generate different types of extreme multistability.Furthermore,based on the proposed memristive neural network,this paper designs a new encryption algorithm for medical images.The algorighm employs diagonal diffusion and triple-bit mutation methods to conceal image information.Relevant tests demonstrate that the algorithm can effectively protect the security of medical image informa-tion.关键词
忆阻电磁辐射/离散神经网络/极端多稳态/信号调控/医学图像加密Key words
memristive electromagnetic radiation/discrete neural network/extreme multistability/signal modulation/medical image encryption分类
信息技术与安全科学引用本文复制引用
LAI Qiang,QIN Minghong..含忆阻电磁辐射的离散混沌神经网络动力学分析及其图像加密应用[J].西华大学学报（自然科学版）,2026,45(1):20-30,11.基金项目
国家自然科学基金(62366014). （62366014）
