Results 21 to 30 of about 438 (172)
Volleyball Movement Object Detection and Behavior Recognition Method of Artificial Neural Network
Mobile 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
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Advances 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
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The stability of Cohen–Grossberg neural networks with time dependent delays
Известия 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
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IEEE 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
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Synchronization Problems of Fuzzy Competitive Neural Networks
Advances 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
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Mathematical 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
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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 +3 more
wiley +1 more source
Journal of Inequalities and Applications, 2009 Based on the theory of calculus on time scales, the homeomorphism theory, Lyapunov functional method, and some analysis techniques, sufficient conditions are obtained for the existence, uniqueness, and global exponential stability of the equilibrium ...
Yongkun Li, Yuchun Hua, Yu Fei
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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 +2 more
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Synchronization between Bidirectional Coupled Nonautonomous Delayed Cohen-Grossberg Neural Networks
Abstract and Applied Analysis, 2012 Based on using suitable Lyapunov function and the properties of M-matrix, sufficient conditions for complete synchronization of bidirectional coupled nonautonomous Cohen-Grossberg neural networks are obtained.
Qiming Liu, Rui Xu
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