… Here we study the spectral characteristics of a broadband … , soliton and self-similar evolution,
and supercontinuum … active topic of research in machine learning, and both techniques are …

… , the exact soliton solutions will promote the study of dynamic … Describing the propagation
of optical soliton in the Kerr media, the … In the era of big data, deep learning has been making …

… supercontinuum without any phase information. The possibility to combine machine learning
… of operations offers completely new avenues for the study of ultrafast dynamics in general. …

… solitons that are associated with highly skewed “rogue wave” statistics. To overcome … machine
learning to predict the peak power and temporal shift of extreme red-shifted rogue solitons …

… or solitons on a finite background. The vast majority of … ], we studied the generation of 2D
transverse rogue waves in the … spectral broadening and supercontinuum generation in PPLN for …

… behind the formation of rogue waves, and the modulational instability and solitons on finite
… In this study, considering the prediction of the maximum rogue wave in time series, we utilize …

… have used machine learning as well as deep learning to study … [28,29], tailored supercontinuum
generation [30], and prediction of … Machine learning methods are also promising for the …

… rogue waves are high intensity pulses of light that appear in a supercontinuum as a result of
noise-sensitive soliton … In addition to optimization approaches, machine learning brings in …

… producing soliton pulses [13] to supercontinuum generation [… effectively used to explain
solitons and rogue waves in fiber … ; hence the linear stability analysis of the NLSE is considered …

… Conclusions: We demonstrate a general principle for stabilizing soliton … and
perturbationinduced shifting of the soliton's frequency. … In the current study, we examine the effect …