人工神经网络
计算机科学
光纤
人工智能
降噪
事件(粒子物理)
纤维
原始数据
深层神经网络
模式识别(心理学)
机器学习
电信
材料科学
物理
复合材料
量子力学
程序设计语言
标识
DOI:10.1364/ofc.2021.th4f.2
摘要
In recent years, artificial neural networks (ANNs) have been increasingly used to enhance the performance of optical fiber sensors for the distributed measurement of strain and temperature. This paper reviews ANN-based approaches for improved and accelerated raw data processing, denoising, as well as higher-level tasks such as event recognition and classification.
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