Reservoir computing with a slowly modulated mask signal for preprocessing using a mutually coupled optoelectronic system
Tezuka Miwa, Kazutaka Kanno, Masatoshi Bunsen · Japanese Journal of Applied Physics · 2016
Abstract Reservoir computing is a machine-learning paradigm based on information processing in the human brain. We numerically demonstrate reservoir computing with a slowly modulated mask signal for preprocessing by using a mutually coupled optoelectronic system. The performance of our system is quantitatively evaluated by a chaotic time series prediction task. Our system can produce comparable performance with reservoir computing with a single feedback system and a fast modulated mask signal. We showed that it is possible to slow down the modulation speed of the mask signal by using the mutually coupled system in reservoir computing.