Improving the Performance of Photonic Delay-Based Reservoir Computing by Phase Modulating the Input Signal

Ian Bauwens,Krishan Harkhoe,Peter Bienstman,Guy Verschaffelt,Guy Van der Sande

2023 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC)（2023）

引用 0|浏览1

暂无评分

摘要

Photonic reservoir computing (RC) has been effectively used for solving various complex problems, such as speech recognition, time-series predictions or non-linear channel equalization tasks. Such RC systems are straightforward to train when compared to other neural network architectures, and have the advantage of high-speed performance, low-energy consumption and the possibility of high inherent parallelism [1]–[3].

查看译文

关键词

complex problems,high-speed performance,input signal,neural network architectures,phase modulating,photonic delay-based reservoir computing,photonic reservoir computing,RC systems,speech recognition,time-series predictions

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要