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Updated: Jun 18, 2025

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分数级反应-扩散惯性时间延迟神经网络的稳定性和同步性,具有参数扰动

Hu Wang1, Yajuan Gu2, Xiaoli Zhang3

  • 1School of Statistics and Mathematics, Central University of Finance and Economics, Beijing, 100081, China.

Neural networks : the official journal of the International Neural Network Society
|August 1, 2024
PubMed
概括

本研究分析了带有时间延迟的分数级通用反应扩散惯性神经网络 (FGRDINNs). 它使用利亚普诺夫方法建立了全球统一的稳定性和同步条件,并通过数值模拟验证.

关键词:
分数顺序的分数顺序.参数扰动的参数反应扩散惯性神经网络同步的同步是同步的同步.时间延迟导致时间延迟.

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