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Chaos, Solitons & Fractals, 2022
R. Kaviya, M. Priyanka, P. Muthukumar
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R. Kaviya, M. Priyanka, P. Muthukumar
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Applied Mathematics and Computation, 2019
In this paper, the two-step Maruyama methods of stochastic delay Hopfield neural networks are studied. We have found that under what choices of step-size, the two-step Maruyama methods of stochastic delay Hopfield networks, maintain the stability of ...
A. Rathinasamy, J. Narayanasamy
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In this paper, the two-step Maruyama methods of stochastic delay Hopfield neural networks are studied. We have found that under what choices of step-size, the two-step Maruyama methods of stochastic delay Hopfield networks, maintain the stability of ...
A. Rathinasamy, J. Narayanasamy
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Journal of the Franklin Institute, 2023
Zhu Xue, Xin-Xin Han, Kaining Wu
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Zhu Xue, Xin-Xin Han, Kaining Wu
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Mean square exponential stability for stochastic memristor-based neural networks with leakage delay
Chaos, Solitons & Fractals, 2021Fen Wang, Yuanlong Chen
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Mean Square Exponential Stability of Hybrid Neural Networks with Uncertain Switching Probabilities
2012This paper is concerned with the global exponential stability problem for a class of Markovian jumping recurrent neural networks (MJRNNs) with uncertain switching probabilities. The Markovian jumping recurrent neural networks under consideration involve parameter uncertainties in the mode transition rate matrix.
Xuyang Lou, Qian Ye, Ke Lou, Baotong Cui
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Mean square exponential stability of uncertain stochastic delayed neural networks
Physics Letters, Section A: General, Atomic and Solid State Physics, 2008Wu-Hua Chen, Xiaomei Lu
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