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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Passivity and Passification of Memristor-Based Recurrent Neural Networks With Time-Varying Delays

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2014.2305440 ◽

2014 ◽

Vol 25 (11) ◽

pp. 2099-2109 ◽

Author(s):

Zhenyuan Guo ◽

Jun Wang ◽

Zheng Yan

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Time Varying ◽

Passivity And Passification

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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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Passivity and Passification of Memristor-Based Recurrent Neural Networks With Additive Time-Varying Delays

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2014.2365059 ◽

2015 ◽

Vol 26 (9) ◽

pp. 2043-2057 ◽

Author(s):

Rajan Rakkiyappan ◽

Arunachalam Chandrasekar ◽

Jinde Cao

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Time Varying ◽

Passivity And Passification

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Comments and further improvements on “Passivity and passification of memristor-based complex-valued recurrent neural networks with interval time-varying delays”[Neurocomputing 144 (2014) 391–407]

Neurocomputing ◽

10.1016/j.neucom.2015.03.043 ◽

2015 ◽

Vol 165 ◽

pp. 433-435

Author(s):

R. Rakkiyappan ◽

K. Sivaranjani ◽

G. Velmurugan

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Time Varying ◽

Interval Time ◽

Passivity And Passification ◽

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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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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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Passivity and passification of memristor-based complex-valued recurrent neural networks with interval time-varying delays

Neurocomputing ◽

10.1016/j.neucom.2014.04.034 ◽

2014 ◽

Vol 144 ◽

pp. 391-407 ◽

Author(s):

R. Rakkiyappan ◽

K. Sivaranjani ◽

G. Velmurugan

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Time Varying ◽

Interval Time ◽

Passivity And Passification ◽

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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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