GST-memristor-based online learning neural networks

Neurocomputing ◽

10.1016/j.neucom.2017.08.014 ◽

2018 ◽

Vol 272 ◽

pp. 677-682 ◽

Cited By ~ 25

Author(s):

Shuixin Xiao ◽

Xudong Xie ◽

Shiping Wen ◽

Zhigang Zeng ◽

Tingwen Huang ◽

...

Keyword(s):

Neural Networks ◽

Online Learning

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Spiking Neural Networks and online learning: An overview and perspectives

Neural Networks ◽

10.1016/j.neunet.2019.09.004 ◽

2020 ◽

Vol 121 ◽

pp. 88-100 ◽

Cited By ~ 14

Author(s):

Jesus L. Lobo ◽

Javier Del Ser ◽

Albert Bifet ◽

Nikola Kasabov

Keyword(s):

Neural Networks ◽

Online Learning ◽

Spiking Neural Networks

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Optimal HVAC System Operation Using Online Learning of Interconnected Neural Networks

IEEE Transactions on Smart Grid ◽

10.1109/tsg.2021.3051564 ◽

2021 ◽

pp. 1-1

Author(s):

Ye-Eun Jang ◽

Young-Jin Kim ◽

Joao P. S. Catalao

Keyword(s):

Neural Networks ◽

Online Learning ◽

Hvac System ◽

System Operation

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Analysis of students’ behaviour through user clustering in online learning settings, based on Self Organizing Maps neural networks

IEEE Access ◽

10.1109/access.2021.3115024 ◽

2021 ◽

pp. 1-1

Author(s):

Soledad Delgado ◽

Federico Moran ◽

Jose Carlos San Jose ◽

Daniel Burgos

Keyword(s):

Neural Networks ◽

Online Learning ◽

Self Organizing Maps ◽

User Clustering ◽

Self Organizing

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One-Pass Online Learning Based on Gradient Descent for Multilayer Spiking Neural Networks

IEEE Transactions on Cognitive and Developmental Systems ◽

10.1109/tcds.2021.3140115 ◽

2022 ◽

pp. 1-1

Author(s):

Xianghong Lin ◽

Tiandou Hu ◽

Xiangwen Wang

Keyword(s):

Neural Networks ◽

Online Learning ◽

Gradient Descent ◽

Spiking Neural Networks ◽

Pass Online

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Call for papers IEEE Transactions on Neural Networks Special Issue: Online Learning in Kernel Methods

IEEE Transactions on Neural Networks ◽

10.1109/tnn.2010.2102871 ◽

2011 ◽

Vol 22 (1) ◽

pp. 171-171

Keyword(s):

Neural Networks ◽

Online Learning ◽

Kernel Methods ◽

Special Issue

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Variable-structure-systems based approach for online learning of spiking neural networks and its experimental evaluation

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2014.03.002 ◽

2014 ◽

Vol 351 (6) ◽

pp. 3269-3285 ◽

Cited By ~ 4

Author(s):

Y. Oniz ◽

O. Kaynak

Keyword(s):

Neural Networks ◽

Online Learning ◽

Experimental Evaluation ◽

Variable Structure ◽

Spiking Neural Networks ◽

Variable Structure Systems

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Online Learning Dynamics of Radial Basis Function Neural Networks near the Singularity

The 2006 IEEE International Joint Conference on Neural Network Proceedings ◽

10.1109/ijcnn.2006.247152 ◽

2006 ◽

Author(s):

Haikun Wei ◽

S. Amari

Keyword(s):

Neural Networks ◽

Online Learning ◽

Radial Basis Function ◽

Basis Function ◽

Learning Dynamics ◽

Radial Basis

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Structural seismic resilience evaluation through real-time hybrid simulation with online learning neural networks

International Journal of Lifecycle Performance Engineering ◽

10.1504/ijlcpe.2020.10031050 ◽

2020 ◽

Vol 4 (1/2/3) ◽

pp. 184

Author(s):

Jingzhe Wu ◽

Brian M. Phillips ◽

Ruiyang Zhang

Keyword(s):

Neural Networks ◽

Online Learning ◽

Real Time ◽

Hybrid Simulation ◽

Seismic Resilience

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Simultaneous perturbation stochastic approximation based neural networks for online learning

Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749) ◽

10.1109/itsc.2004.1399050 ◽

2005 ◽

Cited By ~ 7

Author(s):

Min Chee Choy ◽

Dipti Srinivasan ◽

Ruey Long Cheu

Keyword(s):

Neural Networks ◽

Online Learning ◽

Stochastic Approximation ◽

Simultaneous Perturbation Stochastic Approximation

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Call for papers IEEE Transactions on Neural Networks Special Issue: Online Learning in Kernel Methods

IEEE Transactions on Neural Networks ◽

10.1109/tnn.2011.2110250 ◽

2011 ◽

Vol 22 (2) ◽

pp. 336-336

Keyword(s):

Neural Networks ◽

Online Learning ◽

Kernel Methods ◽

Special Issue

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