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Citation(s) in
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8
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For:
Pan Y
, Zhou Q, Lu Q, Wu C.
New dissipativity condition of stochastic fuzzy neural networks with discrete and distributed time-varying delays.
Neurocomputing
2015. [DOI:
10.1016/j.neucom.2015.03.045
]
[
Citation(s) in
RCA
: 15
]
[
Impact Index Per Article: 1.7
]
[
Reference Citation Analysis
]
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[Indexed: 11/30/2022]
Number
Cited by Other Article(s)
1
Duan L
, Jian J, Wang B. Global exponential dissipativity of neutral-type BAM inertial neural networks with mixed time-varying delays.
Neurocomputing
2020. [DOI:
10.1016/j.neucom.2019.10.082
]
[
Citation(s) in
RCA
: 22
]
[
Impact Index Per Article: 5.5
]
[
Reference Citation Analysis
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[Indexed: 11/17/2022]
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2
Finite-time extended dissipativity of delayed Takagi–Sugeno fuzzy neural networks using a free-matrix-based double integral inequality.
Neural Comput Appl
2019. [DOI:
10.1007/s00521-019-04348-w
]
[
Citation(s) in
RCA
: 4
]
[
Impact Index Per Article: 0.8
]
[
Reference Citation Analysis
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[Indexed: 10/26/2022]
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3
Sun X
, Zhang Q. Admissibility analysis of interval type-2 uncertain stochastic descriptor systems.
Neurocomputing
2018. [DOI:
10.1016/j.neucom.2018.05.093
]
[
Citation(s) in
RCA
: 0
]
[
Impact Index Per Article: 0
]
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[Indexed: 10/14/2022]
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4
Towards improving the efficiency of the fuzzy cognitive map classifier.
Neurocomputing
2017. [DOI:
10.1016/j.neucom.2016.11.059
]
[
Citation(s) in
RCA
: 24
]
[
Impact Index Per Article: 3.4
]
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[Indexed: 11/18/2022]
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5
Song Y
, Sun W, Jiang F. Mean-square exponential input-to-state stability for neutral stochastic neural networks with mixed delays.
Neurocomputing
2016. [DOI:
10.1016/j.neucom.2016.03.048
]
[
Citation(s) in
RCA
: 15
]
[
Impact Index Per Article: 1.9
]
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[Indexed: 11/30/2022]
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6
Delay-dependent exponential stabilization of nonlinear fuzzy impulsive systems with time-varying delay.
Neurocomputing
2016. [DOI:
10.1016/j.neucom.2016.03.059
]
[
Citation(s) in
RCA
: 0
]
[
Impact Index Per Article: 0
]
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[Indexed: 11/21/2022]
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7
Pan Y
, Yang GH. Switched filter design for interval type-2 fuzzy systems with sensor nonlinearities.
Neurocomputing
2016. [DOI:
10.1016/j.neucom.2016.01.082
]
[
Citation(s) in
RCA
: 4
]
[
Impact Index Per Article: 0.5
]
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[Indexed: 10/22/2022]
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8
Ma Z
, Sun G, Liu D, Xing X. Dissipativity analysis for discrete-time fuzzy neural networks with leakage and time-varying delays.
Neurocomputing
2016. [DOI:
10.1016/j.neucom.2015.10.098
]
[
Citation(s) in
RCA
: 14
]
[
Impact Index Per Article: 1.8
]
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Reference Citation Analysis
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[Indexed: 10/22/2022]
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