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For: Hua M, Tan H, Fei J. State estimation for uncertain discrete-time stochastic neural networks with Markovian jump parameters and time-varying delays. INT J MACH LEARN CYB 2015. [DOI: 10.1007/s13042-015-0373-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Number Cited by Other Article(s)
1
Robust finite-time state estimation for uncertain discrete-time Markovian jump neural networks with two delay components. Neurocomputing 2018. [DOI: 10.1016/j.neucom.2017.12.047] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
2
Training an extreme learning machine by localized generalization error model. Soft comput 2018. [DOI: 10.1007/s00500-018-3012-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
3
Li Y, Deng F, Li G, Jiao L. Robust $$H_\infty$$ H ∞ filtering for uncertain discrete-time stochastic neural networks with Markovian jump and mixed time-delays. INT J MACH LEARN CYB 2017. [DOI: 10.1007/s13042-017-0651-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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