… scope of machine learning applications to the analysis of SC … applied machine learning to
the analysis of supercontinuum … of nonlinear dynamics using machine learning 30 . Using a …

… The results of this thesis open up new perspectives for the study and prediction of time-…
regimes of supercontinuum generation. The statistics of extremely red-shifted rogue solitons are …

… rogue waves can be inhibited by 1.28 % or increased by 0.49 %, indicating that the soliton
behavior during supercontinuum generation … to stimulate supercontinuum and to control rogue …

… new approaches to classify localised soliton structures using machine learning 6 . … study
of an extreme dissipative soliton noise-like pulse laser generating an output supercontinuum …

… To accurately predict the complex dynamical processes of supercontinuum generation in
optical fibers, an integrated deep learning model was constructed in this study, fully …

… -temporal properties of supercontinuum generation in order to … In this article, we conduct a
numerical study to assess the … solitons are shifted toward longer wavelengths via soliton self-…

… There is no doubt that deep learning has been developing rapidly in the past decade and
has achieved ongoing success in natural science researches [36], [37]. Driven by massive data…

… nonlinear optical system, has been intensively employed for the study of optical solitons. …
Furthermore, research groups have employed machine learning to analyze the generation of …

… equation and soliton dynamics as a reservoir computing platform for … and study the coherent
supercontinuum generation with … : machine learning by rogue waves, dispersive shocks, and …

… rogue waves. In this Chapter 6, we will confine our discussions on the subject of “rogue
waves”, given that the soliton … decade that the field of optical rogue waves in general began to …