Results 21 to 30 of about 388 (131)

Stability Analysis of Cohen–Grossberg Type BAM Neural Network with Piecewise Constant Argument

open access: yesDiscrete Dynamics in Nature and Society, Volume 2023, Issue 1, 2023., 2023
This paper introduces the stability problems of Cohen–Grossberg type BAM neural network (BAMCGNN) with piecewise constant argument (PCA). By employing the homeomorphism theory, sufficient conditions for the existence and uniqueness of the equilibrium point are obtained; using inequality technique and Lyapunov method, sufficient stability criteria for ...
Wenqing Zheng   +3 more
wiley   +1 more source

Treating the most vulnerable: A discursive review of experimental pain in Alzheimer’s disease

open access: yesNursing Open, Volume 9, Issue 2, Page 942-949, March 2022., 2022
Abstract Aim The purpose of this manuscript is to summarize research on how experimental pain is experienced by adults with Alzheimer's disease (AD) and to translate results into implications for nurses. Design This discursive review synthesizes the results of three previous research studies exploring experimental pain in adults with AD.
Wm. Larkin Iversen   +9 more
wiley   +1 more source

Impulsive Fractional Cohen-Grossberg Neural Networks: Almost Periodicity Analysis

open access: yesFractal and Fractional, 2021
In this paper, a fractional-order Cohen–Grossberg-type neural network with Caputo fractional derivatives is investigated. The notion of almost periodicity is adapted to the impulsive generalization of the model.
Ivanka Stamova   +3 more
doaj   +1 more source

Volleyball Movement Object Detection and Behavior Recognition Method of Artificial Neural Network

open access: yesMobile Information Systems, Volume 2022, Issue 1, 2022., 2022
Movement object detection method is the basis and key of the modem intelligent video surveillance system. It combines advanced technologies in many fields, such as artificial intelligence, image processing, and pattern recognition, and is the research area of computer vision technology.
Zhe Sun, Hongzhi Zhang, Muhammad Zakarya
wiley   +1 more source

Finite‐Time Synchronization of Fractional‐Order Complex‐Valued Cohen‐Grossberg Neural Networks with Mixed Time Delays and State‐Dependent Switching

open access: yesAdvances in Mathematical Physics, Volume 2022, Issue 1, 2022., 2022
This paper discussed the finite‐time synchronization of fractional‐order complex‐valued Cohen‐Grossberg neural networks (FCVCGNNs), which contain mixed time delays and state‐dependent switching that make the model more comprehensive. Different from other methods, we use a method of nonseparating real and imaginary parts to get our conclusions.
Xiaoxia Li   +5 more
wiley   +1 more source

The stability of Cohen–Grossberg neural networks with time dependent delays

open access: yesИзвестия высших учебных заведений. Поволжский регион: Физико-математические науки, 2023
Background. The study is devoted to the analysis of stability in the sense Lyapunov Cohen-Grossberg neural networks with time-dependent delays. To do this, we study the stability of the steady-state solutions of systems of linear differential equations ...
Il'ya V. Boykov   +2 more
doaj   +1 more source

Exponential Stability of Neutral-Type Cohen-Grossberg Neural Networks With Multiple Time-Varying Delays

open access: yesIEEE Access, 2021
This paper deals with the problem for exponential stability of a more general class of neutral-type Cohen-Grossberg neural networks. This class of neutral-type Cohen-Grossberg neural networks involves multiple time-varying delays in the states of neurons
Li Wan, Qinghua Zhou
doaj   +1 more source

Synchronization Problems of Fuzzy Competitive Neural Networks

open access: yesAdvances in Mathematical Physics, Volume 2022, Issue 1, 2022., 2022
This paper is devoted to investigating the fixed‐time and finite‐time synchronization for fuzzy competitive neural networks with discontinuous activation functions. We introduce Filippov solution for overcoming the nonexistence of classical solutions of discontinuous system.
Lingping Zhang   +3 more
wiley   +1 more source

Input‐to‐State Stability Analysis for Stochastic Mixed Time‐Delayed Neural Networks with Hybrid Impulses

open access: yesMathematical Problems in Engineering, Volume 2022, Issue 1, 2022., 2022
This paper investigates the mean‐square exponential input‐to‐state stability (MEISS) of stochastic mixed time‐delayed neural networks with hybrid impulses. A generalized comparison principle is introduced and a new inequality about the solution of an impulsive differential equation is established.
Chi Zhao   +4 more
wiley   +1 more source

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

open access: yesMobile 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   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy