Photonic reservoir computing with non-linear memory cells: Interplay between topology, delay and delayed input

被引:1
|
作者
Jaurigue, Lina C. [1 ]
Robertson, Elizabeth [2 ,3 ]
Wolters, Janik [2 ,3 ]
Luedge, Kathy [1 ]
机构
[1] Tech Univ Ilmenau, Inst Phys, Ilmenau, Germany
[2] Deutsch Zentrum Luft & Raumfahrt eV DLR, Inst Opt Sensorsyst, Berlin, Germany
[3] Tech Univ Berlin, Inst Opt & Atomare Phys, Berlin, Germany
关键词
Reservoir Computing; Photonics; Feedback; Delayed input; Timeseries forecasting; PERFORMANCE;
D O I
10.1117/12.2633339
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Photonic reservoir computing is an emerging topic due to the possibility to realize very fast devices with minimal training effort. We will discuss the reservoir computing performance of memory cells with a focus on the impact of delay lines and the interplay between coupling topology and performance for various benchmark tasks. We will further show that additional delayed input can be beneficial for reservoir computing setups in general, as it provides an easy tuning parameter, which can improve the performance of a reservoir on a range of tasks.
引用
收藏
页数:7
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