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29 та иш

Иш: Experimental characterization of Raman amplifier optimization through inverse system design

  1. Extreme learning machines: a survey

    Guang-Bin Huang, Dian Hui Wang, Yuan Lan

    Мақола20113 иқтибос
    ABI
  2. Robust, compact, and flexible neural model for a fiber Raman amplifier

    Junhe Zhou, Jianping Chen, Xinwan Li +3

    Мақола20063 иқтибос
    ABI
  3. Training feedforward networks with the Marquardt algorithm

    Martin Hagan, Mohammad Bagher Menhaj

    Мақола19943 иқтибос
    ABI
  4. Roadmap of optical communications

    Erik Agrell, Magnus Karlsson, A.R. Chraplyvy +16

    Мақола20163 иқтибос
    ABI
  5. Pump interactions in a 100-nm bandwidth Raman amplifier

    H.D. Kidorf, Karsten Rottwitt, M. Nissov +2

    Мақола19992 иқтибос
    ABI
  6. Optimal design of flat-gain wide-band fiber Raman amplifiers

    V.E. Perlin, Herbert G. Winful

    Мақола20022 иқтибос
    ABI
  7. Machine Learning for Ultrawide Bandwidth Amplifier Configuration

    Maria Ionescu

    Мақола20192 иқтибос
    ABI
  8. Inverse System Design Using Machine Learning: The Raman Amplifier Case

    Darko Zibar, A. M. Rosa Brusin, Uiara Celine de Moura +3

    Мақола20192 иқтибос
    ABI
  9. Сарлавҳасиз

    Бошқа2 иқтибос
    ABI
  10. Simple design method for gain-flattened three-pump Raman amplifiers

    Juan Diego Ania‐Castañón, A. A. Pustovskikh, Sergey Kobtsev +1

    Мақола20072 иқтибос
    ABI
  11. Raman Amplification in Fiber Optical Communication Systems

    Китоб20052 иқтибос
    ABI
  12. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI
  13. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI
  14. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI
  15. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI
  16. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI