链 HNN 中复杂的动态与参数依赖的平衡和记忆电磁感应
Minghong Qin1, Qiang Lai1, Huangtao Wang1
1School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 3300113, People's Republic of China.
Chaos (Woodbury, N.Y.)
|February 5, 2025
概括
这项研究介绍了一种记忆链霍普菲尔德神经网络 (MCHNN),该网络模拟神经元中的电磁感应. MCHNN展示了多样化的动态和信号控制能力,通过硬件实现和NIST对工程应用的测试进行验证.
科学领域:
- 计算神经科学是一种神经科学.
- 人工神经网络的人工神经网络
- 非线性动力学是一种非线性动力学.
背景情况:
- 了解大脑的电活动需要研究神经网络的动态.
- 电磁感应在神经元通信中起作用.
- 记忆器件为神经网络建模提供了新的方法.
研究的目的:
- 提出和分析一个采用电磁感应的记忆链霍普菲尔德神经网络 (MCHNN).
- 探索MCHNN的多样化动态和信号控制特性.
- 通过硬件实现和伪随机性测试来验证MCHNN.
主要方法:
- 使用流量控制的memristors开发一个memristive链的霍普菲尔德神经网络模型.
- 对网络平衡和吸引力动态 (点,周期,混乱) 的数值分析.
- 为实验验证和NIST统计测试套件应用程序构建硬件平台.
主要成果:
- MCHNN表现出各种动态行为,包括共存的吸引力,取决于系统参数和初始条件.
- 记忆器的内部参数有效地控制信号振荡幅度和流量特性.
- 硬件实现验证了数值发现,NIST测试证实了良好的伪随机性.
结论:
- 拟议的MCHNN成功地模拟了神经元之间的电磁感应.
- 该MCHNN展示了丰富的动态和可控制的信号特性,适合工程应用.
- 实验验证证证实了理论模型的可行性和潜在的安全通信和随机数生成.
相关概念视频
Classification of Systems-I
167
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
167
Multimachine Stability
136
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
136
Atomic Nuclei: Nuclear Relaxation Processes
603
In the absence of an external magnetic field, nuclear spin states are degenerate and randomly oriented. When a magnetic field is applied, the spins begin to precess and orient themselves along (lower energy) or against (higher energy) the direction of the field. At equilibrium, a slight excess population of spins exists in the lower energy state. Because the direction of the magnetic field is fixed as the z-axis, the precessing magnetic moments are randomly oriented around the z-axis.
603
State Space Representation
162
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
Consider an RLC circuit, a...
162
Linear Approximation in Frequency Domain
85
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
85
Mutual Inductance
2.3K
Inductance is the property of a device that tells us how effectively it induces an emf in another device. In other words, it is a physical quantity that expresses the effectiveness of a given device.
When two circuits carrying time-varying currents are close to one another, the magnetic flux through each circuit varies because of the changing current in the other circuit. Consequently, an emf is induced in each circuit by the changing current in the other. Therefore, this type of emf is called...
When two circuits carrying time-varying currents are close to one another, the magnetic flux through each circuit varies because of the changing current in the other circuit. Consequently, an emf is induced in each circuit by the changing current in the other. Therefore, this type of emf is called...
2.3K


