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Robust stability of delayed fuzzy Cohen–Grossberg neural networks
Computers & Mathematics with Applications, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Global Convergence for Cohen-Grossberg Neural Networks with Discontinuous Activation Functions
Abstract and Applied Analysis, 2012 Cohen-Grossberg neural networks with discontinuous activation functions is considered. Using the property of M-matrix and a generalized Lyapunov-like approach, the uniqueness is proved for state solutions and corresponding output solutions, and ...
Yanyan Wang, Jianping Zhou
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Global Asymptotic Stability of Cohen–Grossberg Neural Networks of Neutral Type [PDF]
Journal of Mathematical Sciences, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Akca, H., Covachev, V., Covacheva, Z.
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Working Memory Networks for Learning Temporal Order, with Application to 3-D Visual Object Recognition [PDF]
, 1991 Working memory neural networks are characterized which encode the invariant temporal order of sequential events. Inputs to the networks, called Sustained Temporal Order REcurrent (STORE) models, may be presented at widely differing speeds, durations, and
Bradski, Gary +2 more
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Neural Dynamics of Motion Perception: Direction Fields, Apertures, and Resonant Grouping [PDF]
, 1992 A neural network model of global motion segmentation by visual cortex is described. Called the Motion Boundary Contour System (BCS), the model clarifies how ambiguous local movements on a complex moving shape are actively reorganized into a coherent ...
Grossberg, Stephen, Mingolla, Ennio
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Discrete Dynamics in Nature and Society, 2009 This paper is concerned with pth moment exponential stability of stochastic reaction-diffusion Cohen-Grossberg neural networks with time-varying delays.
Chuangxia Huang, Xinsong Yang, Yigang He
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Localist but Distributed Representations [PDF]
, 1999 A number of examples are given of how localist models may incorporate distributed representations, without the types of non-local interactions that often render distributed models implausible.
Grossberg, Stephen
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A Neural Network Architecture for Figure-ground Separation of Connected Scenic Figures [PDF]
, 1991 A neural network model, called an FBF network, is proposed for automatic parallel separation of multiple image figures from each other and their backgrounds in noisy grayscale or multi-colored images.
Grossbergy, Stephen, Wyse, Lonce
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Antiperiodic Solutions to Impulsive Cohen-Grossberg Neural Networks with Delays on Time Scales
Abstract and Applied Analysis, 2014 We use the method of coincidence degree and construct suitable Lyapunov functional to investigate the existence and global exponential stability of antiperiodic solutions of impulsive Cohen-Grossberg neural networks with delays on time scales.
Yanqin Wang, Maoan Han
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Nonlinear Analysis, 2015 In this paper, by using a continuation theorem of coincidence degree theory and a differential inequality, we establish some sufficient conditions ensuring the existence and global exponential stability of anti-periodic solutions for a class of fuzzy ...
Yongkun Li, Li Yang, Wanqin Wu
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