Global Exponential Dissipativity of Impulsive Recurrent Neural Networks with Multi-proportional Delays

Neural Processing Letters ◽

10.1007/s11063-021-10451-8 ◽

2021 ◽

Vol 53 (2) ◽

pp. 1435-1452

Author(s):

Liqun Zhou

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Proportional Delays

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Passivity and passification of memristive recurrent neural networks with multi-proportional delays and impulse

Applied Mathematics and Computation ◽

10.1016/j.amc.2019.124838 ◽

2020 ◽

Vol 369 ◽

pp. 124838 ◽

Author(s):

Yuxiao Wang ◽

Yuting Cao ◽

Zhenyuan Guo ◽

Shiping Wen

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Proportional Delays ◽

Passivity And Passification

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Passivity of memristor-based recurrent neural networks with multi-proportional delays

Neurocomputing ◽

10.1016/j.neucom.2017.05.064 ◽

2017 ◽

Vol 266 ◽

pp. 485-493 ◽

Author(s):

Lijuan Su ◽

Liqun Zhou

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Proportional Delays

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Mean-square exponential input-to-state stability of stochastic recurrent neural networks with multi-proportional delays

Neurocomputing ◽

10.1016/j.neucom.2016.09.038 ◽

2017 ◽

Vol 219 ◽

pp. 396-403 ◽

Author(s):

Liqun Zhou ◽

Xueting Liu

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Mean Square ◽

Proportional Delays

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Global exponential periodicity and stability of recurrent neural networks with multi-proportional delays

ISA Transactions ◽

10.1016/j.isatra.2015.11.008 ◽

2016 ◽

Vol 60 ◽

pp. 89-95 ◽

Author(s):

Liqun Zhou ◽

Yanyan Zhang

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Proportional Delays

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Delay-Dependent Exponential Synchronization of Recurrent Neural Networks with Multiple Proportional Delays

Neural Processing Letters ◽

10.1007/s11063-014-9377-2 ◽

2014 ◽

Vol 42 (3) ◽

pp. 619-632 ◽

Author(s):

Liqun Zhou

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Exponential Synchronization ◽

Proportional Delays ◽

Delay Dependent

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Exponential synchronization and polynomial synchronization of recurrent neural networks with and without proportional delays

Neurocomputing ◽

10.1016/j.neucom.2019.09.046 ◽

2020 ◽

Vol 372 ◽

pp. 109-116 ◽

Author(s):

Liqun Zhou ◽

Zhixue Zhao

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Exponential Synchronization ◽

Proportional Delays

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Delay-dependent exponential stability of recurrent neural networks with Markovian jumping parameters and proportional delays

Neural Computing and Applications ◽

10.1007/s00521-016-2370-0 ◽

2016 ◽

Vol 28 (S1) ◽

pp. 765-773 ◽

Author(s):

Liqun Zhou

Keyword(s):

Neural Networks ◽

Exponential Stability ◽

Recurrent Neural Networks ◽

Markovian Jumping Parameters ◽

Markovian Jumping ◽

Proportional Delays ◽

Delay Dependent

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Delay-dependent and delay-independent passivity of a class of recurrent neural networks with impulse and multi-proportional delays

Neurocomputing ◽

10.1016/j.neucom.2018.04.076 ◽

2018 ◽

Vol 308 ◽

pp. 235-244 ◽

Author(s):

Liqun Zhou

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Proportional Delays ◽

Delay Dependent

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Exponential synchronization of memristor-based recurrent neural networks with multi-proportional delays

Neural Computing and Applications ◽

10.1007/s00521-018-3569-z ◽

2018 ◽

Vol 31 (11) ◽

pp. 7907-7920 ◽

Author(s):

Lijuan Su ◽

Liqun Zhou

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Exponential Synchronization ◽

Proportional Delays

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Exponential Stability of Positive Recurrent Neural Networks with Multi-proportional Delays

Neural Processing Letters ◽

10.1007/s11063-018-9802-z ◽

2018 ◽

Vol 49 (1) ◽

pp. 67-78 ◽

Author(s):

Gang Yang

Keyword(s):

Neural Networks ◽

Exponential Stability ◽

Recurrent Neural Networks ◽

Proportional Delays ◽

Positive Recurrent

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