@Article{AAM-32-234,
author = {Chen , Liangbo and Huang , Zhenkun},
title = {Scale-Type Stability for Neural Networks with Unbounded Time-Varying Delays},
journal = {Annals of Applied Mathematics},
year = {2022},
volume = {32},
number = {3},
pages = {234--248},
abstract = {<p style="text-align: justify;">This paper studies scale-type stability for neural networks with unbounded
time-varying delays and Lipschitz continuous activation functions. Several
sufficient conditions for the global exponential stability and global asymptotic
stability of such neural networks on time scales are derived. The new results
can extend the existing relevant stability results in the previous literatures to
cover some general neural networks.</p>},
issn = {},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/aam/20640.html}
}