受强制性开放获取政策约束的文章 - Chandrasekar Arunachalam了解详情
无法在其他位置公开访问的文章：6 篇
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Exponential H ∞ filtering analysis for discrete-time switched neural networks with random delays using sojourn probabilities
JD Cao, R Rakkiyappan, K Maheswari, A Chandrasekar
Science China Technological Sciences 59, 387-402, 2016
强制性开放获取政策： 国家自然科学基金委员会
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Stochastic stability of Markovian jump BAM neural networks with leakage delays and impulse control
Q Zhu, R Rakkiyappan, A Chandrasekar
Neurocomputing 136, 136-151, 2014
强制性开放获取政策： 国家自然科学基金委员会
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Passivity and passification of memristor-based recurrent neural networks with additive time-varying delays
R Rakkiyappan, A Chandrasekar, J Cao
IEEE transactions on neural networks and learning systems 26 (9), 2043-2057, 2014
强制性开放获取政策： 国家自然科学基金委员会, Department of Science & Technology, India
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Synchronization of memristor-based recurrent neural networks with two delay components based on second-order reciprocally convex approach
A Chandrasekar, R Rakkiyappan, J Cao, S Lakshmanan
Neural Networks 57, 79-93, 2014
强制性开放获取政策： 国家自然科学基金委员会
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Further results on input-to-state stability of stochastic Cohen–Grossberg BAM neural networks with probabilistic time-varying delays
A Chandrasekar, T Radhika, Q Zhu
Neural Processing Letters, 1-23, 2022
强制性开放获取政策： 国家自然科学基金委员会
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Effects of bounded and unbounded leakage time-varying delays in memristor-based recurrent neural networks with different memductance functions
A Chandrasekar, R Rakkiyappan, X Li
Neurocomputing 202, 67-83, 2016
强制性开放获取政策： 国家自然科学基金委员会
可在其他位置公开访问的文章：2 篇
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Stability and synchronization analysis of inertial memristive neural networks with time delays
R Rakkiyappan, S Premalatha, A Chandrasekar, J Cao
Cognitive neurodynamics 10, 437-451, 2016
强制性开放获取政策： 国家自然科学基金委员会
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Exponential state estimation for delayed competitive neural network via stochastic sampled-data control with Markov jump parameters under actuator failure
Y Cao, AR Subhashri, A Chandrasekar, T Radhika, K Przybyszewski
Journal of Artificial Intelligence and Soft Computing Research 14 (4), 373-385, 2024
强制性开放获取政策： 国家自然科学基金委员会
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