Optical Label Routing Processing for BPSK Labels Using Complex-Valued Neural Network
Optical Label Routing Processing for BPSK Labels Using Complex-Valued Neural Network
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DOI：
10.1109/jlt.2013.2261051
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发表时间：
2013-06
影响因子：
4.7
通讯作者：
K. Mizote;H. Kishikawa;N. Goto;S. Yanagiya
中科院分区：
文献类型：
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作者：
K. Mizote;H. Kishikawa;N. Goto;S. Yanagiya
提出了一种用于光子标签路由的BPSK标签识别的光神经网络电路，该电路的神经元由作为加权连接的光幅度放大器和移相器、作为激活函数的组合器和非线性阈值装置组成。这些加权连接的参数是通过教师信号的反向传播来学习的。通过计算机仿真验证了神经网络电路对2 ~ 4位BPSK标签的识别性能。对于路由应用，还讨论了将路由标签根据路由器的输出端口划分为几组，并进行了成功的仿真。
Optical neural-network circuit to recognize BPSK labels for photonic label routing is proposed, whose neuron consists of optical amplitude amplifiers and phase shifters as weighting connections, a combiner and a nonlinear threshold device for an activation function. The parameters of these weighting connections are learned with back-propagation of teacher signals. The performance of the neural network circuits as recognition of two to four bit BPSK labels is clarified by computer simulation. For routing application, classification of routing labels into several groups corresponding to the output ports of the router is also discussed and is successfully simulated.