Experimental verification of a memristive neural network

Nonlinear Dynamics ◽

10.1007/s11071-018-4291-1 ◽

2018 ◽

Vol 93 (4) ◽

pp. 1823-1840 ◽

Author(s):

I. Carro-Pérez ◽

C. Sánchez-López ◽

H. G. González-Hernández

Keyword(s):

Neural Network ◽

Experimental Verification ◽

Memristive Neural Network

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Design of Memristive Neural Network PID Controller

Chinese Journal of Computers ◽

10.3724/sp.j.1016.2013.02577 ◽

2014 ◽

Vol 36 (12) ◽

pp. 2577-2586 ◽

Author(s):

Si-Wei XIA ◽

Shu-Kai DUAN ◽

Li-Dan WANG ◽

Xiao-Fang HU

Keyword(s):

Neural Network ◽

Pid Controller ◽

Memristive Neural Network ◽

Neural Network Pid

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Bridging the Analytical and Artificial Neural Network Models for Keyhole Formation with Experimental Verification in Laser-melting Deposition: A Novel Approach

Results in Physics ◽

10.1016/j.rinp.2021.104440 ◽

2021 ◽

pp. 104440

Author(s):

Muhammad Arif Mahmood ◽

Andrei C. Popescu ◽

Mihai Oane ◽

Asma Channa ◽

Sabin Mihai ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Experimental Verification ◽

Network Models ◽

Laser Melting ◽

Neural Network Models ◽

Novel Approach ◽

Laser Melting Deposition ◽

Artificial Neural ◽

Artificial Neural Network Models

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Experimental Verification of Complex-Valued Artificial Neural Network for Nonlinear Equalization in Coherent Optical Communication Systems

2020 European Conference on Optical Communications (ECOC) ◽

10.1109/ecoc48923.2020.9333293 ◽

2020 ◽

Author(s):

Pedro J. Freire ◽

Vladislav Neskornuik ◽

Antonio Napoli ◽

Bernhard Spinnler ◽

Nelson Costa ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Optical Communication ◽

Experimental Verification ◽

Communication Systems ◽

Nonlinear Equalization ◽

Optical Communication Systems ◽

Coherent Optical Communication ◽

Artificial Neural ◽

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Design of Analog CMOS-Memristive Neural Network Circuits for Pattern Recognition

10.1109/asicon52560.2021.9620385 ◽

2021 ◽

Author(s):

Bo Li ◽

Mingjie Yang ◽

Guoyong Shi

Keyword(s):

Neural Network ◽

Pattern Recognition ◽

Analog Cmos ◽

Memristive Neural Network

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Designed Memristor Circuit for Self‐Limited Analog Switching and its Application to a Memristive Neural Network

Advanced Electronic Materials ◽

10.1002/aelm.201800740 ◽

2019 ◽

Vol 5 (6) ◽

pp. 1800740 ◽

Author(s):

Hanchan Song ◽

Young Seok Kim ◽

Juseong Park ◽

Kyung Min Kim

Keyword(s):

Neural Network ◽

Memristive Neural Network

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Adaptive sparse coding based on memristive neural network with applications

Cognitive Neurodynamics ◽

10.1007/s11571-019-09537-w ◽

2019 ◽

Vol 13 (5) ◽

pp. 475-488 ◽

Author(s):

Xun Ji ◽

Xiaofang Hu ◽

Yue Zhou ◽

Zhekang Dong ◽

Shukai Duan

Keyword(s):

Neural Network ◽

Sparse Coding ◽

Memristive Neural Network ◽

Adaptive Sparse Coding

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Neuromorphic Computing: Designed Memristor Circuit for Self‐Limited Analog Switching and its Application to a Memristive Neural Network (Adv. Electron. Mater. 6/2019)

Advanced Electronic Materials ◽

10.1002/aelm.201970032 ◽

2019 ◽

Vol 5 (6) ◽

pp. 1970032

Author(s):

Hanchan Song ◽

Young Seok Kim ◽

Juseong Park ◽

Kyung Min Kim

Keyword(s):

Neural Network ◽

Neuromorphic Computing ◽

Memristive Neural Network

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Associate learning law in a memristive neural network

2013 Sixth International Conference on Advanced Computational Intelligence (ICACI) ◽

10.1109/icaci.2013.6748503 ◽

2013 ◽

Author(s):

Yujie Liu ◽

He Huang ◽

Tingwen Huang

Keyword(s):

Neural Network ◽

Associate Learning ◽

Memristive Neural Network ◽

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Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity

Scientific Reports ◽

10.1038/s41598-017-05480-0 ◽

2017 ◽

Vol 7 (1) ◽

Author(s):

G. Pedretti ◽

V. Milo ◽

S. Ambrogio ◽

R. Carboni ◽

S. Bianchi ◽

...

Keyword(s):

Neural Network ◽

Spike Timing ◽

Spike Timing Dependent Plasticity ◽

Dependent Plasticity ◽

On Line ◽

Memristive Neural Network ◽

On Line Learning

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Artificial neural network modelling and experimental verification of the operating current of mono-crystalline photovoltaic modules

Solar Energy ◽

10.1016/j.solener.2011.07.009 ◽

2011 ◽

Vol 85 (10) ◽

pp. 2507-2517 ◽

Author(s):

Ali Naci Celik

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Experimental Verification ◽

Network Modelling ◽

Photovoltaic Modules ◽

Neural Network Modelling ◽

Operating Current ◽

Artificial Neural ◽

Artificial Neural Network Modelling

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