油藏计算
计算机科学
节点(物理)
任务(项目管理)
图像(数学)
超参数
光学计算
人工智能
方案(数学)
模式识别(心理学)
人工神经网络
电子工程
工程类
数学
循环神经网络
数学分析
结构工程
系统工程
作者
Jiayi Li,Qiang Cai,Pu Li,Yi Yang,K.A. Shore,Yuncai Wang
出处
期刊:Chaos
[American Institute of Physics]
日期:2022-12-01
卷期号:32 (12)
被引量:3
摘要
We propose an image recognition approach using a single physical node based optical reservoir computing. Specifically, an optically injected semiconductor laser with self-delayed feedback is used as the reservoir. We perform a handwritten-digit recognition task by greatly increasing the number of virtual nodes in delayed feedback using outputs from multiple delay times. Final simulation results confirm that the recognition accuracy can reach 99% after systematically optimizing the reservoir hyperparameters. Due to its simple architecture, this scheme may provide a resource-efficient alternative approach to image recognition.
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