Results 21 to 30 of about 4,381 (217)
Volleyball Movement Object Detection and Behavior Recognition Method of Artificial Neural Network
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
Impulsive Fractional Cohen-Grossberg Neural Networks: Almost Periodicity Analysis
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
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
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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Synchronization Problems of Fuzzy Competitive Neural Networks
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
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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Stability analysis of impulsive stochastic Cohen–Grossberg neural networks with mixed time delays [PDF]
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 +38 more
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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
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
Stability analysis for stochastic Cohen-Grossberg neural networks with mixed time delays [PDF]
Copyright [2006] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Li, M, Liu, X, Liu, Y, Wang, Z
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