Sinusoidal disturbance induced topology identification of Hindmarsh-Rose neural networks

Science China Information Sciences ◽

10.1007/s11432-015-0915-9 ◽

2016 ◽

Vol 59 (11) ◽

Author(s):

Junchan Zhao ◽

M. A. Aziz-Alaoui ◽

Cyrille Bertelle ◽

Nathalie Corson

Keyword(s):

Neural Networks ◽

Topology Identification ◽

Sinusoidal Disturbance ◽

Induced Topology

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Finite-time topology identification function projective synchronization of Cohen-Grossberg neural networks with time delays and stochastic disturbance

2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC) ◽

10.1109/smc.2016.7844331 ◽

2016 ◽

Author(s):

Min Han ◽

Yamei Zhang

Keyword(s):

Neural Networks ◽

Finite Time ◽

Time Delays ◽

Projective Synchronization ◽

Stochastic Disturbance ◽

Topology Identification ◽

Function Projective Synchronization ◽

Identification Function

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Finite-Time Topology Identification of Multi-weighted Coupled Neural Networks with and without Parameter Uncertainties

10.1109/ihmsc52134.2021.00023 ◽

2021 ◽

Author(s):

Han-Yu Wu

Keyword(s):

Neural Networks ◽

Finite Time ◽

Parameter Uncertainties ◽

Coupled Neural Networks ◽

Topology Identification

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Leak Detection and Topology Identification in Pipelines Using Fluid Transients and Artificial Neural Networks

Journal of Water Resources Planning and Management ◽

10.1061/(asce)wr.1943-5452.0001187 ◽

2020 ◽

Vol 146 (6) ◽

pp. 04020040 ◽

Author(s):

Jessica Bohorquez ◽

Bradley Alexander ◽

Angus R. Simpson ◽

Martin F. Lambert

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Leak Detection ◽

Topology Identification ◽

And Topology ◽

Fluid Transients ◽

Artificial Neural

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Network Topology Identification using Supervised Pattern Recognition Neural Networks

Proceedings of the 13th International Conference on Agents and Artificial Intelligence ◽

10.5220/0010231902580264 ◽

2021 ◽

Author(s):

Aniruddha Perumalla ◽

Ahmet Koru ◽

Eric Johnson

Keyword(s):

Neural Networks ◽

Pattern Recognition ◽

Network Topology ◽

Topology Identification

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Distribution System Topology Identification for DER Management Systems Using Deep Neural Networks

2020 IEEE Power & Energy Society General Meeting (PESGM) ◽

10.1109/pesgm41954.2020.9282121 ◽

2020 ◽

Author(s):

Mohammad Jafarian ◽

Alireza Soroudi ◽

Andrew Keane

Keyword(s):

Neural Networks ◽

Distribution System ◽

Deep Neural Networks ◽

Management Systems ◽

Topology Identification ◽

System Topology

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Quantum topology identification with deep neural networks and quantum walks

npj Computational Materials ◽

10.1038/s41524-019-0224-x ◽

2019 ◽

Vol 5 (1) ◽

Author(s):

Yurui Ming ◽

Chin-Teng Lin ◽

Stephen D. Bartlett ◽

Wei-Wei Zhang

Keyword(s):

Neural Networks ◽

Deep Neural Networks ◽

Quantum Walks ◽

Quantum Topology ◽

Topology Identification

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Topology Identification and Inner Desynchronization of Hindmarsh-Rose Neural Networks

2020 Chinese Control And Decision Conference (CCDC) ◽

10.1109/ccdc49329.2020.9164131 ◽

2020 ◽

Author(s):

Yan Li ◽

Hui Liu ◽

Zengyang Li

Keyword(s):

Neural Networks ◽

Topology Identification

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Topology Identification of Multiple Output Coupled Neural Networks with and without Parameter Uncertainties

10.23919/ccc52363.2021.9549538 ◽

2021 ◽

Author(s):

Xiao-Lu Liu ◽

Han-Yu Wu ◽

Shun-Yan Ren ◽

Yan-Li Huang

Keyword(s):

Neural Networks ◽

Parameter Uncertainties ◽

Coupled Neural Networks ◽

Topology Identification

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Topology identification of coupled neural networks with multiple weights

Neurocomputing ◽

10.1016/j.neucom.2021.06.019 ◽

2021 ◽

Author(s):

Han-Yu Wu ◽

Lu Wang ◽

Lin-Hao Zhao ◽

Jin-Liang Wang

Keyword(s):

Neural Networks ◽

Coupled Neural Networks ◽

Topology Identification ◽

Multiple Weights

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Determination of S-N curves with the application of artificial neural networks

Fatigue & Fracture of Engineering Materials & Structures ◽

10.1046/j.1460-2695.1999.00198.x ◽

1999 ◽

Vol 22 (8) ◽

pp. 723-728 ◽

Author(s):

Artymiak ◽

Bukowski ◽

Feliks ◽

Narberhaus ◽

Zenner

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Artificial Neural

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