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NEURAL PROCESSING LETTERS (3)
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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
]
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Reference Citation Analysis
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[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
]
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[Indexed: 10/10/2022]
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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
]
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Reference Citation Analysis
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[Indexed: 12/18/2022]
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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
]
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[Indexed: 11/28/2022]
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