CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 11358 > Article
Presentation + Paper
1 April 2020 Forecasting the amplitude of high-intensity chaotic laser pulses
Pablo Amil, Miguel C. Soriano, Cristina Masoller
Author Affiliations +
Proceedings Volume 11358, Nonlinear Optics and its Applications 2020; 113580T (2020) https://doi.org/10.1117/12.2556074
Event: SPIE Photonics Europe, 2020, Online Only
Abstract
Forecasting the dynamics of chaotic systems from the analysis of their output signals is a challenging problem with applications in most fields of modern science. In this work, we use a laser model to compare the performance of several machine learning algorithms for forecasting the amplitude of upcoming emitted chaotic pulses. We simulate the dynamics of an optically injected semiconductor laser that presents a rich variety of dynamical regimes when changing the parameters. We focus on a particular regime where the intensity shows a chaotic pulsing dynamics, and occasionally an ultra-high pulse, reminiscent of a rogue wave, is emitted. Our goal is to predict the amplitude (height) of the next pulse, knowing the amplitude of the three preceding pulses. We compare the performance of several machine learning methods, namely neural networks, support vector machine, nearest neighbors and reservoir computing. We analyze how their performance depends on the length of the time-series used for training.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Pablo Amil, Miguel C. Soriano, and Cristina Masoller "Forecasting the amplitude of high-intensity chaotic laser pulses", Proc. SPIE 11358, Nonlinear Optics and its Applications 2020, 113580T (1 April 2020); https://doi.org/10.1117/12.2556074
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 6 PAGES + PRESENTATION
DOWNLOAD PAPER SAVE TO MY LIBRARY
WATCH
PRESENTATION
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Machine learning
Semiconductor lasers
Neural networks
Complex systems
Optical simulations
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top