首页> 外文期刊>Optics Communications: A Journal Devoted to the Rapid Publication of Short Contributions in the Field of Optics and Interaction of Light with Matter >Prediction and classification performance of reservoir computing system using mutually delay-coupled semiconductor lasers
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Prediction and classification performance of reservoir computing system using mutually delay-coupled semiconductor lasers

机译:使用相互延迟耦合半导体激光器储层计算系统的预测和分类性能

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摘要

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 x 10(-5) +/- 5.2 x 10(-6) and signal recognition error 5.5 x 10(-4) +/- 8.8 x 10(-5) can be achieved under optimized operation parameters.
机译:提出了一种基于两个相互延迟耦合的半导体激光器(MDC-SLS)的储层计算(RC)系统,并且通过SANTA-Fe时间对这种系统进行混沌时间序列预测和信号分类性能 - 分别 - 符号预测任务和信号分类任务。 仿真结果表明,当采用该系统时处理超快速数据,速率高达1 Gbps,最好的预测误差5.1 x 10(-5)+/- 5.2 x 10(-6)和信号识别误差5.5 x 10 (-4) +/- 8.8 ×10 (-5) 可以 下 优化运行 参数 来实现的。

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