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389,987
An Analysis of Global Stability of Cohen-Grossberg Neural Networks with Multiple Time Delays
"... Abstract—This paper presents a new sufficient condition for the existence, uniqueness and global asymptotic stability of the equilibrium point for Cohen-Grossberg neural networks with multiple time delays. The results establish a relationship between the network parameters of the neural system indep ..."
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Cited by 1 (0 self)
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Abstract—This paper presents a new sufficient condition for the existence, uniqueness and global asymptotic stability of the equilibrium point for Cohen-Grossberg neural networks with multiple time delays. The results establish a relationship between the network parameters of the neural system
Existence and stability of periodic solutions for Cohen-Grossberg neural networks with multiple delays
- Chaos, Solitons & Fractals
"... In this paper, a generalized model of Cohen-Grossberg neural net-works with periodic coefficients and both time-varying and distributed delays is investigated. By employing Mawhin’s continuation theorem, analytic methods, inequality technique and M-matrix theory, some suf-ficient conditions ensuring ..."
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Cited by 10 (3 self)
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In this paper, a generalized model of Cohen-Grossberg neural net-works with periodic coefficients and both time-varying and distributed delays is investigated. By employing Mawhin’s continuation theorem, analytic methods, inequality technique and M-matrix theory, some suf-ficient conditions
Global stability of Cohen-Grossberg neural networks with distributed delays
- in Lecture Notes in Computer Science
, 2006
"... In this paper, the problem of stability analysis for a class of impulsive Cohen-Grossberg neural networks with mixed time delays is considered. The mixed time delays comprise both the time-varying and distributed delays. By employing a combination of the M-matrix theory and analytic methods, several ..."
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Cited by 2 (1 self)
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In this paper, the problem of stability analysis for a class of impulsive Cohen-Grossberg neural networks with mixed time delays is considered. The mixed time delays comprise both the time-varying and distributed delays. By employing a combination of the M-matrix theory and analytic methods
Delay-independent globally asymptotic stability of Cohen–Grossberg neural networks
- International Journal of Information and Systems Sciences
, 2005
"... Abstract. The dynamic behavior of Cohen-Grossberg neural networks with multiple delays and nonsymmetric interconnecting structure is investigated. The sufficient conditions for the globally asymptotic stability of equilibrium point are given by way of constructing a suitable Lyapunov functional. Com ..."
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Cited by 1 (0 self)
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Abstract. The dynamic behavior of Cohen-Grossberg neural networks with multiple delays and nonsymmetric interconnecting structure is investigated. The sufficient conditions for the globally asymptotic stability of equilibrium point are given by way of constructing a suitable Lyapunov functional
Anti-periodic solutions for Cohen-Grossberg shunting
"... inhibitory neural networks with delays ..."
Evolving Neural Networks through Augmenting Topologies
- Evolutionary Computation
"... An important question in neuroevolution is how to gain an advantage from evolving neural network topologies along with weights. We present a method, NeuroEvolution of Augmenting Topologies (NEAT), which outperforms the best fixed-topology method on a challenging benchmark reinforcement learning task ..."
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Cited by 524 (113 self)
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An important question in neuroevolution is how to gain an advantage from evolving neural network topologies along with weights. We present a method, NeuroEvolution of Augmenting Topologies (NEAT), which outperforms the best fixed-topology method on a challenging benchmark reinforcement learning
Global Exponential Stability of Delayed Cohen-Grossberg Neural Networks
"... In this paper, using a fixed-point theorem and re-duction to absurdity, we have obtained some suffi-cient conditions to guarantee that Cohen-Grossberg neural networks with discrete and distributed delays are globally exponentially stable. Since our model is more general and our assumptions relax the ..."
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In this paper, using a fixed-point theorem and re-duction to absurdity, we have obtained some suffi-cient conditions to guarantee that Cohen-Grossberg neural networks with discrete and distributed delays are globally exponentially stable. Since our model is more general and our assumptions relax
Survey on Independent Component Analysis
- NEURAL COMPUTING SURVEYS
, 1999
"... A common problem encountered in such disciplines as statistics, data analysis, signal processing, and neural network research, is nding a suitable representation of multivariate data. For computational and conceptual simplicity, such a representation is often sought as a linear transformation of the ..."
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Cited by 2241 (104 self)
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A common problem encountered in such disciplines as statistics, data analysis, signal processing, and neural network research, is nding a suitable representation of multivariate data. For computational and conceptual simplicity, such a representation is often sought as a linear transformation
Stability analysis of Markovian jumping stochastic Cohen-Grossberg neural networks with mixed time delays
- IEEE Trans. Neural Netw
, 2008
"... Abstract—In this letter, the global asymptotical stability analysis problem is considered for a class of Markovian jumping stochastic Cohen–Grossberg neural networks (CGNNs) with mixed delays including discrete delays and distributed delays. An alternative delay-dependent stability analysis result i ..."
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Cited by 6 (2 self)
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Abstract—In this letter, the global asymptotical stability analysis problem is considered for a class of Markovian jumping stochastic Cohen–Grossberg neural networks (CGNNs) with mixed delays including discrete delays and distributed delays. An alternative delay-dependent stability analysis result
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389,987
