Abstract
Abstract A reservoir computing (RC) system based on two mutually delay coupled semiconductor lasers (MDC-SLs) subject to optical injection is proposed, and the chaotic time series prediction and signal classification performance for such a system is numerically investigated via the Santa-Fe time-series prediction task and the signal classification task, respectively. The simulation results indicate that, when adopting this system to process ultra-fast data with rate up to 1 Gbps, the best prediction error 5 . 1 × 1 0 − 5 ± 5 . 2 × 1 0 − 6 and signal recognition error 5 . 5 × 1 0 − 4 ± 8 . 8 × 1 0 − 5 can be achieved under optimized operation parameters.
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