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Machine Learning Based Characterisation of Dissipative Solitons. / Кохановский, Алексей Юрьевич; Беднякова, Анастасия Евгеньевна; Куприков, Евгений Александрович et al.

2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8873378 (2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019).

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

Harvard

Кохановский, АЮ, Беднякова, АЕ, Куприков, ЕА, Иваненко, АВ & Турицын, СК 2019, Machine Learning Based Characterisation of Dissipative Solitons. in 2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019., 8873378, 2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019, Institute of Electrical and Electronics Engineers Inc., 2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019, Munich, Germany, 23.06.2019. https://doi.org/10.1109/CLEOE-EQEC.2019.8873378

APA

Кохановский, А. Ю., Беднякова, А. Е., Куприков, Е. А., Иваненко, А. В., & Турицын, С. К. (2019). Machine Learning Based Characterisation of Dissipative Solitons. In 2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019 [8873378] (2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CLEOE-EQEC.2019.8873378

Vancouver

Кохановский АЮ, Беднякова АЕ, Куприков ЕА, Иваненко АВ, Турицын СК. Machine Learning Based Characterisation of Dissipative Solitons. In 2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8873378. (2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019). doi: 10.1109/CLEOE-EQEC.2019.8873378

Author

Кохановский, Алексей Юрьевич ; Беднякова, Анастасия Евгеньевна ; Куприков, Евгений Александрович et al. / Machine Learning Based Characterisation of Dissipative Solitons. 2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019).

BibTeX

@inproceedings{8e5ee3a9547a44a4a5815f50968615e4,
title = "Machine Learning Based Characterisation of Dissipative Solitons",
abstract = "One of the modern trends in development of mode-locked fiber lasers is a focus on precise adjustment of temporal and spectral properties of optical pulses at the expense of increasing complexity of system design. A large set of tools leads to complexity and corresponding cost of the controlled devices that greatly limit application of the emerging feedback based approaches to laboratory experiments",
author = "Кохановский, {Алексей Юрьевич} and Беднякова, {Анастасия Евгеньевна} and Куприков, {Евгений Александрович} and Иваненко, {Алексей Владимирович} and Турицын, {Сергей Константинович}",
year = "2019",
month = oct,
day = "17",
doi = "10.1109/CLEOE-EQEC.2019.8873378",
language = "English",
series = "2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019",
address = "United States",
note = "2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019 ; Conference date: 23-06-2019 Through 27-06-2019",

}

RIS

TY - GEN

T1 - Machine Learning Based Characterisation of Dissipative Solitons

AU - Кохановский, Алексей Юрьевич

AU - Беднякова, Анастасия Евгеньевна

AU - Куприков, Евгений Александрович

AU - Иваненко, Алексей Владимирович

AU - Турицын, Сергей Константинович

PY - 2019/10/17

Y1 - 2019/10/17

N2 - One of the modern trends in development of mode-locked fiber lasers is a focus on precise adjustment of temporal and spectral properties of optical pulses at the expense of increasing complexity of system design. A large set of tools leads to complexity and corresponding cost of the controlled devices that greatly limit application of the emerging feedback based approaches to laboratory experiments

AB - One of the modern trends in development of mode-locked fiber lasers is a focus on precise adjustment of temporal and spectral properties of optical pulses at the expense of increasing complexity of system design. A large set of tools leads to complexity and corresponding cost of the controlled devices that greatly limit application of the emerging feedback based approaches to laboratory experiments

U2 - 10.1109/CLEOE-EQEC.2019.8873378

DO - 10.1109/CLEOE-EQEC.2019.8873378

M3 - Conference contribution

T3 - 2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019

BT - 2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019

Y2 - 23 June 2019 through 27 June 2019

ER -

ID: 23692681