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For: Zhu S, Shen Y. Robustness analysis for connection weight matrix of global exponential stability recurrent neural networks. Neurocomputing 2013;101:370-4. [DOI: 10.1016/j.neucom.2012.08.016] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Number Cited by Other Article(s)
1
Gao Y, Zhu S, Li J. Reachable set bounding for a class of memristive complex-valued neural networks with disturbances. Neurocomputing 2020. [DOI: 10.1016/j.neucom.2019.12.085] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
2
Generation of cyclic/toroidal chaos by Hopfield neural networks. Neurocomputing 2014. [DOI: 10.1016/j.neucom.2014.05.038] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
3
Zhu S, Luo W, Li J, Shen Y. Robustness of globally exponential stability of delayed neural networks in the presence of random disturbances. Neural Comput Appl 2014. [DOI: 10.1007/s00521-014-1547-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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