数学
类型(生物学)
人工神经网络
纯数学
数学分析
人工智能
计算机科学
生态学
生物
作者
Hongjun Qiu,Yanhong Zhang,Chengfeng Xu,Fanchao Kong
出处
期刊:Filomat
[National Library of Serbia]
日期:2023-01-01
卷期号:37 (18): 6089-6114
摘要
This paper presents a class of neutral-type neural networks with discontinuous activations and mixed delays. By using differential inclusions theory, the non-smooth analysis theory with Lyapunovlike approach, some new sufficient criteria are given to ascertain the existence, uniqueness and globally exponential stability of the almost periodic solution for the addressed neural network system. Some recent results in the literature are generalized and improved. Finally, simulation results of two topical numerical examples are also delineated to demonstrate the effectiveness of our theoretical results.
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