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Frontiers of Information Technology & Electronic Engineering
ISSN 2095-9184 (print), ISSN 2095-9230 (online)
2020 Vol.21 No.2 P.324-339
New results on impulsive type inertial bidirectional associative memory neural networks
Abstract: This paper is concerned with inertial bidirectional associative memory neural networks with mixed delays and impulsive effects. New and practical conditions are given to study the existence, uniqueness, and global exponential stability of anti-periodic solutions for the suggested system. We use differential inequality techniques to prove our main results. Finally, we give an illustrative example to demonstrate the effectiveness of our new results.
Key words: Inertial neural networks, Anti-periodic solutions, Global exponential stability, Impulsive effect, Time-varying delay, Bidirectional associative memory
1迦太基大学数学系，突尼斯宾泽特，Zarzouna，7021
2东南大学网络空间安全学院，中国南京，211189
3香港大学机械工程系，中国香港
摘要：探究了具有混合时滞和脉冲效应的惯性双向联想记忆神经网络。该研究为类似系统的反周期解的存在性、唯一性和全局指数稳定性提供了新的实用条件。使用微分不等式技术证明我们的主要结果，并给出一个仿真算例证明新结果的有效性。
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DOI:
10.1631/FITEE.1900181
CLC number:
TP183; O175
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On-line Access:
2024-08-27
Received:
2023-10-17
Revision Accepted:
2024-05-08
Crosschecked:
2020-01-27