conference-paper
All-optical recurrent neural network with sigmoid activation function
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- 7
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- 15
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Paper overview
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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