光学非线性激活函数器件的原理与应用

IF 1.6 4区物理与天体物理 Q3 OPTICS

光学学报 Pub Date : 2023-01-01 DOI:10.3788/aos230903

吕青鸿 Qinghong Lü, 马睿 Ma Rui, 肖莘宇 Xiao Shenyu, 俞维嘉 Yu Weijia, 刘知非 Liu Zhifei, 胡小永 Hu Xiaoyong, 龚旗煌 Gong Qihuang

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引用次数: 0

摘要

神经网络中的非线性激活层可以改变多层网络数据间的线性变换关系，使神经网络得以进行更复杂的学习。为实现处理速度更快，能耗更低的运算，近年来光子领域的神经网络逐渐受到重视，一系列光学非线性激活函数器件应运而生。本文综述了近年来在光学神经网络中引入非线性激活函数的工作，从光学非线性函数的物理机制及其在光学神经网络中的应用出发，对该领域的工作进行了回顾；总结并讨论了光学神经网络中光学非线性激活函数器件发展所面临的挑战及变化趋势，并基于此展望了其发展前景。

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光学非线性激活函数器件的原理与应用

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来源期刊

光学学报光学

CiteScore

2.80

自引率

37.50%

发文量

16537

期刊介绍： Researching is owned by Chinese Laser Press (CLP), which is established by Shanghai Institute of Optics and Fine Mechanics and Chinese Optical Society in 2009. Nowadays, CLP publishes 11 journals and manages three online platforms. Journal publishing activities include both traditional and digital models, and the first journal can be traced back to 1964. The CLP Online Library includes the CLP journals and partnered ones in China, and provides literature and intelligence services for users. The product platform, named as OEShow, connects sellers and buyers of optoelectronics products. Researching (formerly known as The CLP Publishing) is featured with stable operation and leading technology, collects CLP journals and partnered optics and photonics journals, and provides readers an optical publishing platform with global influence. CLP is on the way of building a modern publishing group combining traditional business and digital publishing.