Open AccessLaser dynamical reservoir computing with consistency: an approach of a chaos mask signal
Author(s) -
J. Nakayama,
Kazutaka Kanno,
Atsushi Uchida
Publication year - 2016
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.24.008679
Subject(s) - reservoir computing , signal (programming language) , computer science , consistency (knowledge bases) , optics , task (project management) , signal processing , semiconductor laser theory , chaos (operating system) , synchronization (alternating current) , laser , digital signal processing , physics , artificial intelligence , telecommunications , channel (broadcasting) , computer security , management , recurrent neural network , artificial neural network , computer hardware , economics , programming language
We numerically investigate reservoir computing based on the consistency of a semiconductor laser subjected to optical feedback and injection. We introduce a chaos mask signal as an input temporal mask for reservoir computing and perform a time-series prediction task. We compare the errors of the task obtained from the chaos mask signal with those obtained from other digital and analog masks. The performance of the prediction task can be improved by using the chaos mask signal due to complex dynamical response.