Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Machine learning based characterisation of dissipative solitons. / Kokhanovskiy, Alexey; Bednyakova, Anastasia; Kuprikov, Evgeny et al.
The European Conference on Lasers and Electro-Optics, CLEO_Europe_2019. OSA - The Optical Society, 2019. 2019-cj_2_6 (Optics InfoBase Conference Papers; Vol. Part F140-CLEO_Europe 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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TY - GEN
T1 - Machine learning based characterisation of dissipative solitons
AU - Kokhanovskiy, Alexey
AU - Bednyakova, Anastasia
AU - Kuprikov, Evgeny
AU - Ivanenko, Aleksey
AU - Turitsyn, Sergey
PY - 2019/1/1
Y1 - 2019/1/1
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 [1-3] 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 [1-3] 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.
UR - http://www.scopus.com/inward/record.url?scp=85084605282&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85084605282
T3 - Optics InfoBase Conference Papers
BT - The European Conference on Lasers and Electro-Optics, CLEO_Europe_2019
PB - OSA - The Optical Society
T2 - The European Conference on Lasers and Electro-Optics, CLEO_Europe_2019
Y2 - 23 June 2019 through 27 June 2019
ER -
ID: 24278901