Optical-mode neural network by use of the nonlinear response of a laser diode to external optical feedback.

Optical-mode neural network by use of the nonlinear response of a laser diode to external optical feedback.
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光模式神经网络利用激光二极管对外部光学反馈的非线性响应。

DOI:
10.1364/ao.36.006654
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发表时间:
1997
期刊:
影响因子:
1.9
通讯作者:
H. Waardt
H. Waardt
中科院分区:
工程技术4区
文献类型:
--
作者:
E. Mos;J. Schleipen;H. Waardt

文献摘要

被引文献

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我们提出了一个智能全光神经网络,使用一个单一的激光二极管,提供了受控的外部反馈。激光神经网络(LNN)的输出在光域中由激光二极管的纵向腔模式表示。通过光学矢量矩阵乘法器调节每个纵模的外部反馈,将输入应用于LNN。一些基本的输入输出映射的监督训练证明了通过一个随机学习算法。检查LNN设置的稳定性和再现性。
We present an intelligent all-optical neural network using a single laser diode that is provided with controlled external feedback. The outputs of the laser neural network (LNN) are represented in the optical domain by the longitudinal cavity modes of the laser diode. The inputs to the LNN are applied by means of adjusting the external feedback of each longitudinal mode through an optical vector-matrix multiplier. Supervised training of some basic input-output mappings is demonstrated by means of a stochastic learning algorithm. The stability and reproducibility of the LNN setup is examined.