Summary

International Symposium on Nonlinear Theory and Its Applications

2015

Session Number:A2L-C

Session:

Number:A2L-C-2

Reservoir Computing Using a Chaotic Mask Signal in a Semiconductor Laser with Optical Feedback

Joma Nakayama,  Kazutaka Kanno,  Atsushi Uchida,  

pp.37-40

Publication Date:2015/12/1

Online ISSN:2188-5079

DOI:10.34385/proc.47.A2L-C-2

PDF download (970.7KB)

Summary:
Reservoir computing is a novel computing method inspired by neural network. Recently, despite a simple implementation, delay-based reservoir computing using laser dynamical systems can achieve fast and efficient information processing, such as speech recognition and chaotic time-series prediction. We implement reservoir computing based on consistency of semiconductor lasers subjected to optical delayed-feedback and injection. We also investigate performance improvement with an approach using an analog chaotic mask signal.