Abstract
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.
© 2013 IEEE
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