… through machine learning models [24–27]. … In summary, this work investigated the performance
of a NARXNET as a predictor of the nonlinear dynamics of supercontinuum generation in …

… 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…

… Extreme wave events or rogue waves (RWs) are both … on a platform of supercontinuum
generation in a microstructured … with the modulation instability process and solitons over a finite …

… 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 …

… process of supercontinuum generation. We know by now that … Note that the standard NLS
soliton is also a limiting case of … In summary, we have demonstrated predictable rogue waves …

… different localised breather and rogue wave solutions of the … The yellow line here plots the
analytic Peregrine soliton (see … noise properties of MI and supercontinuum generation 13,36 . …

… this study will provide new insights into the control of rogue … [16] proposed a deep learning
method combining prior energy … a rogue soliton A1 with a time-domain offset of 23 ps and a …

… evolutions of the mid-infrared supercontinuum generation in the near-zero dispersion … order
solitons and increases the probability of soliton collisions. Therefore, the redshift of the rogue …

… study, supervised machine learning tools are used to evaluate the prediction accuracy of the
soliton … predict the behavior of phenomena such as soliton intensity [11], rogue waves [12], …

… in machine learning, has applied to analyze rogue waves in supercontinuum generation [18], …
Nonlinear dynamics of the solitons have been analyzed in our study. Specifically, we have …