延迟分数顺序四次数值神经网络的几乎周期性准投影同步
Xiaofang Meng1, Zhouhong Li2, Jinde Cao3
1School of Statistics and Mathematics, Yunnan University of Finance and Economics, Kunming, Yunnan 650021, China.
概括
这项研究表明,在延迟分数顺序的四次数值神经网络中,几乎有周期性的准投影同步. 研究人员建立了独特解决方案和同步的条件,并通过MATLAB模拟验证.
科学领域:
- 神经科学是一个神经科学.
- 分数微积分的计算.
- 复杂的系统复杂的系统.
背景情况:
- 延迟分数顺序四次数值神经网络 (FQVNNs) 呈现复杂的动态.
- 这种系统中的同步对于高级应用程序至关重要.
- 现有的方法往往涉及复杂的系统分解.
研究的目的:
- 在延迟的FQVNNS中调查几乎周期性的准投影同步.
- 开发一种直接的分析方法,避免系统分解.
- 建立足够的同步和有限估计条件.
主要方法:
- 使用了直接方法和巴纳克的固定点定理.
- 应用的分数计算属性和不等式技术.
- 构建了一个Lyapunov函数,并使用了Mittag-Leffler函数的属性.
主要成果:
- 证明了几乎周期性的溶液的存在和独特性.
- 衍生了准投影同步的条件.
- 估计了系统错误的上限.
结论:
- 拟议的直接方法有效地分析了延迟FQVNNS的同步.
- 由此产生的条件确保了可靠的同步.
- 数字模拟证实了理论发现.
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