对霍普菲尔德神经网络非线性动态的电磁辐射控制
Wei Yao1,2,3, Jia Fang1, Fei Yu1
1School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, Hunan 410114, China.
Chaos (Woodbury, N.Y.)
|July 23, 2024
概括
电磁辐射 (EMR) 影响神经网络的动态. 这项研究表明EMR可以控制霍普菲尔德神经网络 (HNN) 的混乱,为神经系统机制提供了洞察力.
科学领域:
- 神经科学是一个神经科学.
- 计算神经科学是一种神经科学.
- 非线性动力学是一种非线性动力学.
背景情况:
- 电磁辐射 (EMR) 影响神经系统的动态.
- 了解这些影响对于研究神经机制至关重要.
- 霍普菲尔德神经网络 (HNN) 是神经系统动态的模型.
研究的目的:
- 研究EMR对四维霍普菲尔德神经网络 (HNN) 模型混乱动态的影响.
- 探索EMR如何影响短暂的混乱现象和系统混乱抑制.
- 通过EMR操纵来证明HNN动态的可控性.
主要方法:
- 用memristors增强的四维HNN模型的模拟.
- 在不同的EMR条件下分析混乱动态.
- 使用Multisim和现场可编程网关阵列 (FPGA) 硬件进行验证.
主要成果:
- 发现EMR在HNN中诱导复杂的动态行为.
- 暂时的混乱表现出受EMR影响的初始值灵敏度.
- 双重EMR证明了多周期现象和混乱抑制能力.
- 通过调整EMR水平或受影响的神经元,可以控制系统动态.
结论:
- EMR显著影响HNN动态,包括混乱和短暂的混乱行为.
- 带有memristors的HNN模型提供了一个研究EMR神经相互作用的平台.
- 控制EMR参数为管理HNN系统动态提供了一种方法.
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