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For: Li F, Zhao J, Song S, Huang X, Shen H. $$H_{\infty }$$ Filtering for Markov Jump Neural Networks Subject to Hidden-Markov Mode Observation and Packet Dropouts via an Improved Activation Function Dividing Method. Neural Process Lett 2020;51:1939-55. [DOI: 10.1007/s11063-019-10175-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [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
Zhao XY, Chang XH. $${\mathcal {H}}_\infty $$ Filtering for Nonlinear Discrete-time Singular Systems in Encrypted State. Neural Process Lett 2022. [DOI: 10.1007/s11063-022-10987-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/10/2022]
2
He L, Wu W, Yao G, Zhou J. Input-to-state Stabilization of Delayed Semi-Markovian Jump Neural Networks Via Sampled-Data Control. Neural Process Lett 2022. [DOI: 10.1007/s11063-022-11008-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
3
Hu Q, Chen L, Zhou J, Wang Z. Two-Objective Filtering for Takagi–Sugeno Fuzzy Hopfield Neural Networks with Time-Variant Delay. Neural Process Lett 2021. [DOI: 10.1007/s11063-021-10580-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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