Results 21 to 30 of about 3,899 (166)

Global asymptotic stability of nonautonomous Cohen-Grossberg neural network models with infinite delays [PDF]

, 2015
For a general Cohen-Grossberg neural network model with potentially unbounded time-varying coeffi cients and infi nite distributed delays, we give su fficient conditions for its global asymptotic stability.
Oliveira, José J., Salete, Esteves
core   +1 more source

Existence, uniqueness, and global asymptotic stability of an equilibrium in a multiple unbounded distributed delay network

Electronic Journal of Qualitative Theory of Differential Equations, 2020
By employing the notion of M-matrices and Banach's contraction mapping theorem, we provide complete characterisation of the existence and uniqueness of an equilibrium of a Cohen–Grossberg–Hopfield-type neural network endowed with multiple distributed ...
Israel Ncube
doaj   +1 more source

Stability analysis of impulsive stochastic Cohen–Grossberg neural networks with mixed time delays [PDF]

, 2008
This is the post print version of the article. The official published version can be obtained from the link - Copyright 2008 Elsevier LtdIn this paper, the problem of stability analysis for a class of impulsive stochastic Cohen–Grossberg neural networks ...
Arik, Cao, Cao, Chen, Chen, Chen, Cohen, Gao, Gao, Gao, Gao, Gopalsamy, Guan, Ho, Huang, Liang, Liu, Liu, Liu, Lu, Lu, Qiankun Song, Song, Song, Wang, Wang, Wang, Wang, Wang, Wang, Wu, Xu, Yang, Ye, Yuan, Zhang, Zhang, Zhao, Zidong Wang   +38 more
core   +1 more source

Biomechanical Analysis of Martial Arts Movements Based on Improved PSO Optimized Neural Network

Mobile Information Systems, Volume 2022, Issue 1, 2022., 2022
Monitoring the development trend of martial arts biomechanics, which provides ideas for the scientific research of martial arts. It also proposes discussions and suggestions based on research results in related fields. As a traditional sport in China, martial arts have been around for a long time, and there is still a lot of research space.
Shifang Yan, Jun Chen, Hai Huang, Gopal Chaudhary   +3 more
wiley   +1 more source

Inequalities and Stability of Stochastic Fuzzy Delayed Cohen-Grossberg Neural Networks

IEEE Access, 2023
Stability is an important indicator for evaluating complex dynamic systems’ performance. Many problems in practice are abstracted into the stability of networks.
Hebing Zhang
doaj   +1 more source

Retracted: The Synchronization Analysis of Cohen–Grossberg Stochastic Neural Networks with Inertial Terms

, 2023
Computational Intelligence and Neuroscience, Volume 2023, Issue 1, 2023.
Computational Intelligence and Neuroscience
wiley   +1 more source

Parameter Control of Stochastic Neural Network System with Markov Switching

Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022
The stochastic control of Markov switching systems with time‐delay feedback neural networks under the interference of external environment is studied in this paper. By designing a memoryless state feedback controller, a set of sufficient conditions for the stochastic stability of the switching system and the disturbance attenuation are obtained by ...
Bo Hong, Hui Wang, Narasimhan Venkateswaran   +2 more
wiley   +1 more source

On the Stability with Respect to H-Manifolds for Cohen–Grossberg-Type Bidirectional Associative Memory Neural Networks with Variable Impulsive Perturbations and Time-Varying Delays

Mathematics, 2020
The present paper is devoted to Bidirectional Associative Memory (BAM) Cohen−Grossberg-type impulsive neural networks with time-varying delays.
Gani Stamov, Ivanka Stamova, Stanislav Simeonov, Ivan Torlakov   +3 more
doaj   +1 more source

Delayed Impulsive Control for Lag Synchronization of Neural Networks with Time‐Varying Delays and Partial Unmeasured States

Discrete Dynamics in Nature and Society, Volume 2022, Issue 1, 2022., 2022
In this article, a controller with delay impulse is applied to a neural network (NN) with time‐varying delays. Firstly, the lag synchronization of the system is discussed. In addition, a sufficient condition for guaranteed lag synchronization requiring all state information is derived by using linear matrix inequality (LMI).
Jiarui Ye, Jin-E Zhang, Guoguang Wen
wiley   +1 more source

Information Processing with Stability Point Modeling in Cohen–Grossberg Neural Networks

Axioms, 2023
The aim of this article is to develop efficient methods of expressing multilevel structured information from various modalities (images, speech, and text) in order to naturally duplicate the structure as it occurs in the human brain.
Ekaterina Gospodinova, Ivan Torlakov
doaj   +1 more source