带有环状结构的分数顺序memristor突触合的hopsfield神经网络的稳定性分析
Leila Eftekhari1, Mohammad M Amirian2
1Department of Mathematics, Tarbiat Modares University, Tehran, IR 14117-13116 Iran.
Cognitive neurodynamics
|July 31, 2023
概括
本研究介绍了分数顺序的memristor突触合霍普菲尔德神经网络,以增强人工神经网络密度. 研究结果显示,网络稳定性取决于分数顺序和神经元数量,这可能导致混乱.
科学领域:
- 神经科学是一个神经科学.
- 电气工程 电气工程
- 应用数学 应用数学 应用数学
背景情况:
- 记忆器为高密度的人工神经网络提供纳米级的特性.
- 分数计算增强了电子元件中的内存特性.
研究的目的:
- 开发和分析分数顺序的memristor突触合的霍普菲尔德神经网络.
- 调查分数顺序和神经元数量对网络稳定性和同步性的影响.
主要方法:
- 建模一个两个神经元的网络,并扩展到一个n个神经元的环状结构.
- 使用理论条件分析平衡点稳定性.
- 使用数值模拟,分叉分析和利亚普诺夫指数.
主要成果:
- 稳定性取决于小数值和神经元数量.
- 在两个神经元的情况下,增加的分数顺序表明了可能导致混乱的途径.
- 在n-神经元的情况下,网络稳定性受到子网络结构和数量的影响.
结论:
- 分数顺序的memristor网络提供了增强的内存和同步功能.
- 分数顺序和网络拓对于控制稳定性和新出现的行为至关重要.
- 这项研究为设计先进的人工神经网络提供了洞察力.
相关概念视频
Multimachine Stability
191
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:
191
Pole and System Stability
330
The transfer function is a fundamental concept representing the ratio of two polynomials. The numerator and denominator encapsulate the system's dynamics. The zeros and poles of this transfer function are critical in determining the system's behavior and stability.
Simple poles are unique roots of the denominator polynomial. Each simple pole corresponds to a distinct solution to the system's characteristic equation, typically resulting in exponential decay terms in the system's...
Simple poles are unique roots of the denominator polynomial. Each simple pole corresponds to a distinct solution to the system's characteristic equation, typically resulting in exponential decay terms in the system's...
330
Routh-Hurwitz Criterion II
295
In the application of the Routh-Hurwitz criterion, two specific scenarios can arise that complicate stability analysis.
The first scenario occurs when a singular zero appears in the first column of the Routh table. This situation creates a division by zero issues. To resolve this, a small positive or negative number, denoted as epsilon (∈), is substituted for the zero. The stability analysis proceeds by assuming a sign for ∈. If ∈ is positive, any sign change in the first...
The first scenario occurs when a singular zero appears in the first column of the Routh table. This situation creates a division by zero issues. To resolve this, a small positive or negative number, denoted as epsilon (∈), is substituted for the zero. The stability analysis proceeds by assuming a sign for ∈. If ∈ is positive, any sign change in the first...
295
Routh-Hurwitz Criterion I
280
Consider an electrical power grid, where stability is essential to prevent blackouts. The Routh-Hurwitz criterion is a valuable tool for assessing system stability under varying load conditions or faults. By analyzing the closed-loop transfer function, the Routh-Hurwitz criterion helps determine whether the system remains stable.
To apply the Routh-Hurwitz criterion, a Routh table is constructed. The table's rows are labeled with powers of the complex frequency variable s, starting from the...
To apply the Routh-Hurwitz criterion, a Routh table is constructed. The table's rows are labeled with powers of the complex frequency variable s, starting from the...
280
Neural Circuits
1.3K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
1.3K
Current Growth And Decay In RL Circuits
3.9K
The current growth and decay in RL circuits can be understood by considering a series RL circuit consisting of a resistor, an inductor, a constant source of emf, and two switches. When the first switch is closed, the circuit is equivalent to a single-loop circuit consisting of a resistor and an inductor connected to a source of emf. In this case, the source of emf produces a current in the circuit. If there were no self-inductance in the circuit, the current would rise immediately to a steady...
3.9K


