使用全光输入掩模的增强光子时间拉伸储层计算

2022 IEEE Photonics Conference (IPC) Pub Date : 2022-11-01 DOI:10.1109/IPC53466.2022.9975723

Yuanli Yue, Shouju Liu, Yanrong Zhai, Chao Wang

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引用次数: 0

摘要

输入掩模在油藏计算中是必不可少的，以提高性能。本文报道了一种基于光谱滤波的光子学时间拉伸储层计算全光掩蔽方案。该方法克服了数字时间掩蔽的电子瓶颈，在分类任务中提供了更好的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Enhanced photonic time-stretch reservoir computing using all-optical input masks

Input masks are essential in reservoir computing to enhance performance. Here we report a novel all-optical masking scheme for photonics time-stretch reservoir computing based on optical spectral filtering. This approach overcomes the electronic bottleneck in digital temporal masking and offers better performance in classification tasks.

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来源期刊

2022 IEEE Photonics Conference (IPC)

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