conference-paper

All-optical recurrent neural network with sigmoid activation function

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Abstract

We demonstrate experimentally, the first all-optical recurrent-neuron with a sigmoid activation function and four WDM-inputs with 100psec pulses. The proposed neuron geared up a neural-network for financial prediction-tasks exhibiting an accuracy of 42.57% on FI-2010.

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Publication details

DOI
10.1364/ofc.2020.w3a.5
OpenAlex
W3010570736
Document type
conference-paper
Language
EN
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