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For: Raja R, Raja UK, Samidurai R, Leelamani A. Passivity analysis for uncertain discrete-time stochastic BAM neural networks with time-varying delays. Neural Comput Appl 2014;25:751-66. [DOI: 10.1007/s00521-014-1545-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Number Cited by Other Article(s)
1
New exponential passivity of BAM neural networks with time-varying delays. Neural Comput Appl 2016. [DOI: 10.1007/s00521-016-2657-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
2
Ren SY, Wu J, Wei PC. Passivity and Pinning Passivity of Coupled Delayed Reaction–Diffusion Neural Networks with Dirichlet Boundary Conditions. Neural Process Lett 2016. [DOI: 10.1007/s11063-016-9557-3] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
3
Delay-range-dependent passivity analysis for uncertain stochastic neural networks with discrete and distributed time-varying delays. Neurocomputing 2016. [DOI: 10.1016/j.neucom.2015.12.056] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
4
Manivannan R, Samidurai R, Sriraman R. An improved delay-partitioning approach to stability criteria for generalized neural networks with interval time-varying delays. Neural Comput Appl 2016. [DOI: 10.1007/s00521-016-2220-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
5
Stability and passivity analysis for uncertain discrete-time neural networks with time-varying delay. Neurocomputing 2016. [DOI: 10.1016/j.neucom.2015.09.043] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
6
Samidurai R, Rajavel S, Zhu Q, Raja R, Zhou H. Robust passivity analysis for neutral-type neural networks with mixed and leakage delays. Neurocomputing 2016. [DOI: 10.1016/j.neucom.2015.10.103] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
7
Exponential state estimation for Markovian jumping neural networks with mixed time-varying delays and discontinuous activation functions. INT J MACH LEARN CYB 2015. [DOI: 10.1007/s13042-015-0447-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
8
Wang F, Yang Y, Xu X, Li L. Global asymptotic stability of impulsive fractional-order BAM neural networks with time delay. Neural Comput Appl 2015. [DOI: 10.1007/s00521-015-2063-0] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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