Ghent University Academic Bibliography

Advanced

Optical signal processing with a network of semiconductor optical amplifiers in the context of photonic reservoir computing

Kristof Vandoorne UGent, Martin Fiers, David Verstraeten, Benjamin Schrauwen, Joni Dambre UGent and Peter Bienstman UGent (2011) Proceedings of SPIE, the International Society for Optical Engineering. 7972.
abstract
Photonic reservoir computing is a hardware implementation of the concept of reservoir computing which comes from the field of machine learning and artificial neural networks. This concept is very useful for solving all kinds of classification and recognition problems. Examples are time series prediction, speech and image recognition. Reservoir computing often competes with the state-of-the-art. Dedicated photonic hardware would offer advantages in speed and power consumption. We show that a network of coupled semiconductor optical amplifiers can be used as a reservoir by using it on a benchmark isolated words recognition task. The results are comparable to existing software implementations and fabrication tolerances can actually improve the robustness.
Please use this url to cite or link to this publication:
author
organization
year
type
conference (proceedingsPaper)
publication status
published
subject
keyword
semiconductor optical amplifiers, reservoir computing, speech recognition, integrated optics, RECOGNITION, optical neural networks
in
Proceedings of SPIE, the International Society for Optical Engineering
Proc. SPIE Int. Soc. Opt. Eng.
editor
Louay A Eldada and El-Hang Lee
volume
7972
issue title
Optoelectronic integrated circuits XIII
article number
79420P
pages
7 pages
publisher
SPIE, the International Society for Optical Engineering
place of publication
Bellingham, WA, USA
conference name
SPIE Photonics West 2011 Conference : Optoelectronic Integrated Circuits XIII
conference location
San Francisco, CA, USA
conference start
2011-01-22
conference end
2011-01-27
Web of Science type
Proceedings Paper
Web of Science id
000298186800017
ISSN
0277-786X
ISBN
9780819484796
DOI
10.1117/12.874165
project
Center for nano- and biophotonics (NB-Photonics)
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1958435
handle
http://hdl.handle.net/1854/LU-1958435
date created
2011-12-02 11:56:58
date last changed
2017-01-02 09:53:20
@inproceedings{1958435,
  abstract     = {Photonic reservoir computing is a hardware implementation of the concept of reservoir computing which comes from the field of machine learning and artificial neural networks. This concept is very useful for solving all kinds of classification and recognition problems. Examples are time series prediction, speech and image recognition. Reservoir computing often competes with the state-of-the-art. Dedicated photonic hardware would offer advantages in speed and power consumption. We show that a network of coupled semiconductor optical amplifiers can be used as a reservoir by using it on a benchmark isolated words recognition task. The results are comparable to existing software implementations and fabrication tolerances can actually improve the robustness.},
  articleno    = {79420P},
  author       = {Vandoorne, Kristof and Fiers, Martin and Verstraeten, David and Schrauwen, Benjamin and Dambre, Joni and Bienstman, Peter},
  booktitle    = {Proceedings of SPIE, the International Society for Optical Engineering},
  editor       = {Eldada, Louay A and Lee, El-Hang},
  isbn         = {9780819484796},
  issn         = {0277-786X},
  keyword      = {semiconductor optical amplifiers,reservoir computing,speech recognition,integrated optics,RECOGNITION,optical neural networks},
  language     = {eng},
  location     = {San Francisco, CA, USA},
  pages        = {7},
  publisher    = {SPIE, the International Society for Optical Engineering},
  title        = {Optical signal processing with a network of semiconductor optical amplifiers in the context of photonic reservoir computing},
  url          = {http://dx.doi.org/10.1117/12.874165},
  volume       = {7972},
  year         = {2011},
}

Chicago
Vandoorne, Kristof, Martin Fiers, David Verstraeten, Benjamin Schrauwen, Joni Dambre, and Peter Bienstman. 2011. “Optical Signal Processing with a Network of Semiconductor Optical Amplifiers in the Context of Photonic Reservoir Computing.” In Proceedings of SPIE, the International Society for Optical Engineering, ed. Louay A Eldada and El-Hang Lee. Vol. 7972. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering.
APA
Vandoorne, K., Fiers, M., Verstraeten, D., Schrauwen, B., Dambre, J., & Bienstman, P. (2011). Optical signal processing with a network of semiconductor optical amplifiers in the context of photonic reservoir computing. In L. A. Eldada & E.-H. Lee (Eds.), Proceedings of SPIE, the International Society for Optical Engineering (Vol. 7972). Presented at the SPIE Photonics West 2011 Conference : Optoelectronic Integrated Circuits XIII, Bellingham, WA, USA: SPIE, the International Society for Optical Engineering.
Vancouver
1.
Vandoorne K, Fiers M, Verstraeten D, Schrauwen B, Dambre J, Bienstman P. Optical signal processing with a network of semiconductor optical amplifiers in the context of photonic reservoir computing. In: Eldada LA, Lee E-H, editors. Proceedings of SPIE, the International Society for Optical Engineering. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering; 2011.
MLA
Vandoorne, Kristof, Martin Fiers, David Verstraeten, et al. “Optical Signal Processing with a Network of Semiconductor Optical Amplifiers in the Context of Photonic Reservoir Computing.” Proceedings of SPIE, the International Society for Optical Engineering. Ed. Louay A Eldada & El-Hang Lee. Vol. 7972. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering, 2011. Print.