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Updated: May 9, 2025

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A Method for Growing Bio-memristors from Slime Mold
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一步一步的合离散的记忆混乱的混乱地图
Xinghui Chen1, Kunshuai Li1, Qiao Wang2
1Institute of Advanced Optoelectronic Materials and Technology, College of Big Data and Information Engineering, Guizhou University, Guiyang 550025, China.
Chaos (Woodbury, N.Y.)
|May 2, 2025
概括
研究人员开发了一种新型的三角形尺度逐步分离记忆 (TSDM) 地图. 这种混沌的系统是用memristors构建的,对初始值具有很高的灵敏度,并且可以生成伪随机数.
科学领域:
- 非线性动力学是一种非线性动力学.
- 混沌理论 混沌理论
- 记忆系统 记忆系统
背景情况:
- 离散的memristors可以通过合来创建混乱的系统.
- 开发新的混乱地图对于安全的通信和随机数生成至关重要.
研究的目的:
- 为构建一个离散的memristive映射模型提出一个阶段性合方法.
- 构建和分析一个新的三角函数阶段式离散记忆 (TSDM) 地图.
主要方法:
- 一个新的三角形阶段式离散记忆 (TSDM) 地图是通过合正弦和正弦离散记忆器,使用二次合方法来构建的.
- 使用数值方法研究动态行为,分析参数和初始值效应.
- 在一个微控制器上实现了TSDM地图.
主要成果:
- TSDM地图表现出复杂的动态行为.
- 观察到吸引器的局部偏移行为,表明对初始值的高灵敏度.
- 在微控制器上成功实现了TSDM地图.
结论:
- 提出的逐步合方法有效地构建了离散的记忆混乱地图.
- 由于其对初始条件的敏感依赖,TSDM地图是伪随机数生成的有希望的候选者.
- 硬件实现证实了TSDM地图在实际应用中的可行性.
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