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ASME Press Select Proceedings
International Conference on Mechanical Engineering and Technology (ICMET-London 2011)
Editor
Garry Lee
Garry Lee
Information Engineering Research Institute
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ISBN:
9780791859896
No. of Pages:
906
Publisher:
ASME Press
Publication date:
2011
eBook Chapter
107 Spiking Neural Networks on Self-Updating System-on-Chip for Autonomous Control
By
Yimin Zhou
,
Yimin Zhou
Department of Electronic & Electrical Engineering,
Loughborough University
, Leicestershire, LE11 3TU
, UK
; ym.zhou@ieee.org
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Ludovic Krundel
,
Ludovic Krundel
Department of Electronic & Electrical Engineering,
Loughborough University
, Leicestershire, LE11 3TU
, UK
; ludovic.krundel@ieee.org
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David Mulvaney
,
David Mulvaney
Department of Electronic & Electrical Engineering,
Loughborough University
, Leicestershire, LE11 3TU
, UK
; d.j.mulvaney@lboro.ac.uk
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Vassilios Chouliaras
,
Vassilios Chouliaras
Department of Electronic & Electrical Engineering,
Loughborough University
, Leicestershire, LE11 3TU
, UK
; v.a.chouliaras@lboro.ac.uk
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Guohui Li
Guohui Li
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Page Count:
4
-
Published:2011
Citation
Zhou, Y, Krundel, L, Mulvaney, D, Chouliaras, V, Xia, X, & Li, G. "Spiking Neural Networks on Self-Updating System-on-Chip for Autonomous Control." International Conference on Mechanical Engineering and Technology (ICMET-London 2011). Ed. Lee, G. ASME Press, 2011.
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The artificial intelligence (AI) technique has suffered in solving its computationally hard problems in recent years. In this paper, a self-upgrading autonomous system is designed to tackle end-to-end AI-hard problems and to achieve self-adapting communication via modular and hierarchical extension from linguistic and semiotic constructs. A system-on-a-chip (SoC) self-adaptive control system can learn arbitrary shape of the robot body or machine parts. Simulation results have proved the effectiveness of learning abilities of the proposed autonomous system.
Abstract
Keywords
Introduction
Hardware Digital Neural Tissue Model
Cellular Autonomous Rule
Experiment Results and Analysis
Conculsions and Future Works
Acknowledgment
References
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