Robustness analysis of hybrid stochastic neural networks with neutral terms and time-varying delays

DOI10.1155/2015/278571zbMath1418.92011OpenAlexW1905857237WikidataQ59105761 ScholiaQ59105761MaRDI QIDQ1723263

Junhao Hu, Yan Li, Chun-Mei Wu

Publication date: 19 February 2019

Published in: Discrete Dynamics in Nature and Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2015/278571

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Robust stability (93D09)

Related Items (2)

Almost sure stability of stochastic neural networks with time delays in the leakage terms ⋮ Exploration on robustness of exponentially global stability of recurrent neural networks with neutral terms and generalized piecewise constant arguments

Cites Work

• State estimation for jumping recurrent neural networks with discrete and distributed delays
• Delay-dependent robust stability of uncertain neutral-type Itô stochastic systems with Markovian jumping parameters
• Robust stability analysis of switched Hopfield neural networks with time-varying delay under uncertainty
• Switching in systems and control
• Further results on robustness analysis of global exponential stability of recurrent neural networks with time delays and random disturbances
• New results on the robust stability analysis of neural networks with discrete and distributed time delays
• Stochastic Differential Equations with Markovian Switching

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