惯性神经网络的固定/指定时间同步及在医学图像加密中的应用
(新疆第二医学院,新疆 克拉玛依 834000)
摘要
文章在统一的控制框架下,研究了惯性神经网络的固定时间/指定时间同步,并将其应用于医学图像加密。基于变量替换方法,利用固定时间稳定性理论,设计了统一框架下的同步控制器,并推导出网络实现固定时间/指定时间同步的充分条件。研究发现,仅需调整控制器的控制增益,即可实现网络的固定时间/指定时间同步。通过MATLAB进行数值仿真,验证了理论分析的有效性。进一步地,借助固定时间同步控制理论,提出了一种医学图像加密算法,并通过实验验证了该算法的有效性。
关键词
惯性神经网络;固定/指定时间同步;统一的控制框架;固定时间稳定性
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基金项目
新疆维吾尔自治区自然科学基金项目(2024D01B18);新疆维吾尔自治区高等学校科学研究计划资助(XJEDU2024P097);克拉玛依创新人才工程项目(2023hjcxrc0013,2024hjcxrc0086);新疆第二医学院科研项目(ZR202428);大学生“启明星”科研计划项目(S202413560020)
作者简介
秦学姣(1988—),女,汉族,甘肃武威人,副教授,博士研究生,研究方向:数学及其应用;通信作者:章庆勇(1989—),男,汉族,甘肃白银人,副教授,硕士研究生,研究方向:数学及其应用。