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Работы, на которые ссылается эта работа
Работ: 41
Работа: Multi-band programmable gain Raman amplifier
Extreme learning machines: a survey
Guang-Bin Huang, Dian Hui Wang, Yuan Lan
Статья2011Цитирований: 3ABIRobust, compact, and flexible neural model for a fiber Raman amplifier
Junhe Zhou, Jianping Chen, Xinwan Li +3
Статья2006Цитирований: 3ABITraining feedforward networks with the Marquardt algorithm
Martin Hagan, Mohammad Bagher Menhaj
Статья1994Цитирований: 3ABIRoadmap of optical communications
Erik Agrell, Magnus Karlsson, A.R. Chraplyvy +16
Статья2016Цитирований: 3ABIIntroducing Load Aware Neural Networks for Accurate Predictions of Raman Amplifiers
A. M. Rosa Brusin, Uiara Celine de Moura, Vittorio Curri +2
Статья2020Цитирований: 3ABIPump interactions in a 100-nm bandwidth Raman amplifier
H.D. Kidorf, Karsten Rottwitt, M. Nissov +2
Статья1999Цитирований: 2ABIA simplified model and optimal design of a multiwavelength backward-pumped fiber Raman amplifier
Xiang Zhou, Chao Lü, Perry Ping Shum +1
Статья2001Цитирований: 2ABIOptimal design of flat-gain wide-band fiber Raman amplifiers
V.E. Perlin, Herbert G. Winful
Статья2002Цитирований: 2ABIInverse System Design Using Machine Learning: The Raman Amplifier Case
Darko Zibar, A. M. Rosa Brusin, Uiara Celine de Moura +3
Статья2019Цитирований: 2ABISimple design method for gain-flattened three-pump Raman amplifiers
Juan Diego Ania‐Castañón, A. A. Pustovskikh, Sergey Kobtsev +1
Статья2007Цитирований: 2ABI