Robustness and Fault Tolerance Issues In Artificial Neural Network Based Robotic Control Applications

Intelligent Systems: Safety, Reliability and Maintainability Issues ◽

10.1007/978-3-642-58021-5_14 ◽

1993 ◽

pp. 205-220

Author(s):

Kemal Ciliz

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Fault Tolerance ◽

Robotic Control ◽

Control Applications ◽

Artificial Neural

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Fault tolerance of feed-forward artificial neural network architectures targeting nano-scale implementations

2007 50th Midwest Symposium on Circuits and Systems ◽

10.1109/mwscas.2007.4488693 ◽

2007 ◽

Author(s):

Mehmet Vural ◽

Ayhan Ozgur ◽

Alexandre Schmid ◽

Yusuf Leblebici

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Fault Tolerance ◽

Network Architectures ◽

Feed Forward ◽

Artificial Neural ◽

Neural Network Architectures

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The superior fault tolerance of artificial neural network training with a fault/noise injection-based genetic algorithm

Protein & Cell ◽

10.1007/s13238-016-0302-5 ◽

2016 ◽

Vol 7 (10) ◽

pp. 735-748 ◽

Author(s):

Feng Su ◽

Peijiang Yuan ◽

Yangzhen Wang ◽

Chen Zhang

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Artificial Neural Network ◽

Fault Tolerance ◽

Neural Network Training ◽

Network Training ◽

Noise Injection ◽

Artificial Neural ◽

Artificial Neural Network Training

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ANNA-use of PADS for artificial neural network analysis: the defect and fault tolerance issue

[1991] Proceedings, Advanced Computer Technology, Reliable Systems and Applications ◽

10.1109/cmpeur.1991.257443 ◽

2002 ◽

Author(s):

F. Distante ◽

V. Piuri

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Fault Tolerance ◽

Network Analysis ◽

Neural Network Analysis ◽

Artificial Neural Network Analysis ◽

Artificial Neural

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Fault tolerance of CNC software based on artificial neural network

2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering ◽

10.1109/cmce.2010.5609854 ◽

2010 ◽

Author(s):

Xiu-HuaYuan ◽

Yi-Qiang Wang ◽

Yan-Juan Hu

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Fault Tolerance ◽

Artificial Neural

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Digital Implementation of Artificial Neural Network for Function Approximation and Pressure Control Applications

IOSR Journal of Electronics and Communication Engineering ◽

10.9790/2834-0553439 ◽

2013 ◽

Vol 5 (5) ◽

pp. 34-39

Author(s):

Sangeetha T Sangeetha T

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Function Approximation ◽

Pressure Control ◽

Control Applications ◽

Digital Implementation ◽

Artificial Neural

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Artificial Neural Network-Based Robotic Control

10.15368/theses.2018.58 ◽

2018 ◽

Author(s):

Justin Ng

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Robotic Control ◽

Artificial Neural

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Fault Tolerance of Stator Turn Fault for Three Phase Induction Motors Star-Connected Using Artificial Neural Network

2013 Twenty-Eighth Annual IEEE Applied Power Electronics Conference and Exposition (APEC) ◽

10.1109/apec.2013.6520621 ◽

2013 ◽

Author(s):

Shady S. Refaat ◽

Haitham Abu-Rub ◽

M. S. Saad ◽

E. M. Aboul-Zahab ◽

Atif Iqbal

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Fault Tolerance ◽

Induction Motors ◽

Three Phase ◽

Artificial Neural

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Artificial neural network: Framework for fault tolerance and future

2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT) ◽

10.1109/iceeot.2016.7754760 ◽

2016 ◽

Author(s):

Farhana Kausar ◽

P. Aishwarya

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Fault Tolerance ◽

Artificial Neural

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Intrinsic Fault Tolerance of Hopfield Artificial Neural Network Model for Task Scheduling Technique in SoC

Proceedings of the International Conference on Neural Computation Theory and Applications ◽

10.5220/0005140902880293 ◽

2014 ◽

Author(s):

Rajhans Singh ◽

Daniel Chillet

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Fault Tolerance ◽

Network Model ◽

Task Scheduling ◽

Neural Network Model ◽

Artificial Neural Network Model ◽

Artificial Neural ◽

Scheduling Technique

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Autofluorescence spectroscopy of oral leukoplakia using an artificial neural network

Clinical Otolaryngology ◽

10.1046/j.1365-2273.2000.00358-12.x ◽

2000 ◽

Vol 25 (4) ◽

pp. 325-325

Author(s):

J.L.N. Roodenburg ◽

H.J. Van Staveren ◽

N.L.P. Van Veen ◽

O.C. Speelman ◽

J.M. Nauta ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Oral Leukoplakia ◽

Autofluorescence Spectroscopy ◽

Artificial Neural

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