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For: Wang Y, Zheng C, Feng E. Stability analysis of mixed recurrent neural networks with time delay in the leakage term under impulsive perturbations. Neurocomputing 2013;119:454-61. [DOI: 10.1016/j.neucom.2013.03.012] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Number Cited by Other Article(s)
1
Robust Passivity and Stability Analysis of Uncertain Complex-Valued Impulsive Neural Networks with Time-Varying Delays. Neural Process Lett 2021. [DOI: 10.1007/s11063-020-10401-w] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
2
Liu C, Liu X, Yang H, Zhang G, Cao Q, Huang J. New stability results for impulsive neural networks with time delays. Neural Comput Appl 2019. [DOI: 10.1007/s00521-018-3481-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
3
Fractional delay segments method on time-delayed recurrent neural networks with impulsive and stochastic effects: An exponential stability approach. Neurocomputing 2019. [DOI: 10.1016/j.neucom.2018.10.003] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
4
New delay-interval-dependent stability criteria for static neural networks with time-varying delays. Neurocomputing 2016. [DOI: 10.1016/j.neucom.2015.12.063] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
5
Wang F, Liu M. Global exponential stability of high-order bidirectional associative memory (BAM) neural networks with time delays in leakage terms. Neurocomputing 2016. [DOI: 10.1016/j.neucom.2015.11.052] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
6
Liu C, Liu W, Yang Z, Liu X, Li C, Zhang G. Stability of neural networks with delay and variable-time impulses. Neurocomputing 2016. [DOI: 10.1016/j.neucom.2015.07.007] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
7
Ren J, Zhu H, Zhong S, Ding Y, Shi K. State estimation for neural networks with multiple time delays. Neurocomputing 2015. [DOI: 10.1016/j.neucom.2014.09.015] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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