New convergence results on cellular neural networks with leakage delay and proportional delay
Source abstract
Abstract
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.
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Research context
OpenAlex topics: Neural Networks Stability and Synchronization · Cooperative Communication and Network Coding · Cellular Automata and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Guizhou Key Laboratory of Economics System Simulation, Guizhou University of Finance and Economics 1 , Guiyang 550004, People’s Republic of China
School of Mathematics and Physics, University of South China 2 , Hengyang 421001, People’s Republic of China
School of Mathematics and Statistics, Henan University of Science and Technology 3 , Luoyang 471023, People’s Republic of China
Funding
National Natural Science Foundation of China · Project of High-Level Innovative Talents of Guizhou Province · Major Research Project of the Innovation Group of the Education Department of Guizhou Province · Innovative Exploration Project of Guizhou University of Finance and Economics · Hunan Provincial Key Laboratory of Mathematical Modeling and Analysis in Engineering · University Science and Technology Top Talents Project of Guizhou Province · Project of Key Laboratory of Guizhou Province With Financial and Physical Features · Guizhou University of Finance and Economics
References (35)
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