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New convergence results on cellular neural networks with leakage delay and proportional delay
Aip Advances ( IF 1.4 ) Pub Date : 2020-07-27 , DOI: 10.1063/5.0012896
Changjin Xu 1 , Maoxin Liao 2 , Peiluan Li 3
Affiliation  

In the present work, we mainly focus on shunting inhibitory cellular neural networks (SICNNs) involving leakage delays and proportional delays. By applying the inequality technique, a novel sufficient criterion to ascertain the convergence of every solution of SICNNs with leakage delays and proportional delays is derived. Simulation results are delineated to substantiate the correctness of our theoretical findings. Up to now, very few scholars deal with the neural networks with leakage delays and proportional delays. The derived conclusion of this work is a novelty and supplements several earlier works.

中文翻译:

具有泄漏延迟和比例延迟的细胞神经网络的新收敛结果

在目前的工作中,我们主要集中在涉及泄漏时延和比例时延的抑制性细胞神经网络(SICNN)上。通过应用不等式技术,推导了一种新颖的充分判据,可以确定具有泄漏延迟和比例延迟的SICNN的每个解的收敛性。描绘了仿真结果以证实我们理论发现的正确性。到目前为止,很少有学者以泄漏延迟和比例延迟来处理神经网络。这项工作的推论结论是新颖的,对以前的几篇著作进行了补充。
更新日期:2020-08-01
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