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SOA-based nonlinear reservoir for echo-state networks. / Ivoilov, Dmitry; Bednyakova, Anastasia; Terekhov, Ivan et al.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 12317 SPIE-Intl Soc Optical Eng, 2022. 123171F.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Ivoilov, D, Bednyakova, A, Terekhov, I & Turitsyn, S 2022, SOA-based nonlinear reservoir for echo-state networks. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 12317, 123171F, SPIE-Intl Soc Optical Eng. https://doi.org/10.1117/12.2644124

APA

Ivoilov, D., Bednyakova, A., Terekhov, I., & Turitsyn, S. (2022). SOA-based nonlinear reservoir for echo-state networks. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 12317). [123171F] SPIE-Intl Soc Optical Eng. https://doi.org/10.1117/12.2644124

Vancouver

Ivoilov D, Bednyakova A, Terekhov I, Turitsyn S. SOA-based nonlinear reservoir for echo-state networks. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 12317. SPIE-Intl Soc Optical Eng. 2022. 123171F doi: 10.1117/12.2644124

Author

Ivoilov, Dmitry ; Bednyakova, Anastasia ; Terekhov, Ivan et al. / SOA-based nonlinear reservoir for echo-state networks. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 12317 SPIE-Intl Soc Optical Eng, 2022.

BibTeX

@inproceedings{d6a7be1e5b1f4c3e81eafdd070aa7630,
title = "SOA-based nonlinear reservoir for echo-state networks",
abstract = "We introduce a new approach to reservoir computing (RC) in which single nonlinear device-semiconductor optical amplifier, replaces the entire nonlinear reservoir to perform computations. To study the performance of the proposed scheme, we use it for the benchmark prediction task of learning the Mackey-Glass chaotic attractor. Mildly chaotic attractor with tau = 17 and wilder chaotic behavior with tau = 30 are considered.",
author = "Dmitry Ivoilov and Anastasia Bednyakova and Ivan Terekhov and Sergei Turitsyn",
note = "ACKNOWLEDGMENTS: The work of D.A.I and A.E.B was supported by the Russian Science Foundation (Grant No.21-42-04401)",
year = "2022",
month = dec,
day = "3",
doi = "10.1117/12.2644124",
language = "English",
isbn = "9781510657007",
volume = "12317",
booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE-Intl Soc Optical Eng",

}

RIS

TY - GEN

T1 - SOA-based nonlinear reservoir for echo-state networks

AU - Ivoilov, Dmitry

AU - Bednyakova, Anastasia

AU - Terekhov, Ivan

AU - Turitsyn, Sergei

N1 - ACKNOWLEDGMENTS: The work of D.A.I and A.E.B was supported by the Russian Science Foundation (Grant No.21-42-04401)

PY - 2022/12/3

Y1 - 2022/12/3

N2 - We introduce a new approach to reservoir computing (RC) in which single nonlinear device-semiconductor optical amplifier, replaces the entire nonlinear reservoir to perform computations. To study the performance of the proposed scheme, we use it for the benchmark prediction task of learning the Mackey-Glass chaotic attractor. Mildly chaotic attractor with tau = 17 and wilder chaotic behavior with tau = 30 are considered.

AB - We introduce a new approach to reservoir computing (RC) in which single nonlinear device-semiconductor optical amplifier, replaces the entire nonlinear reservoir to perform computations. To study the performance of the proposed scheme, we use it for the benchmark prediction task of learning the Mackey-Glass chaotic attractor. Mildly chaotic attractor with tau = 17 and wilder chaotic behavior with tau = 30 are considered.

UR - https://www.scopus.com/inward/record.url?eid=2-s2.0-85148226694&partnerID=40&md5=ff3e771963bb695a2cee8b2e5bc2b320

UR - https://www.mendeley.com/catalogue/90d60c1e-2f8d-3e2e-b460-bc45d66e7bae/

U2 - 10.1117/12.2644124

DO - 10.1117/12.2644124

M3 - Conference contribution

SN - 9781510657007

VL - 12317

BT - Proceedings of SPIE - The International Society for Optical Engineering

PB - SPIE-Intl Soc Optical Eng

ER -

ID: 45611486