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Bai et al., 2019 - Google Patents

Deep-DFR: A memristive deep delayed feedback reservoir computing system with hybrid neural network topology

Bai et al., 2019

Document ID
10585731469854948274
Author
Bai K
An Q
Yi Y
Publication year
Publication venue
Proceedings of the 56th annual design automation conference 2019

External Links

Snippet

Deep neural networks (DNNs), the brain-like machine learning architecture, have gained immense success in data-extensive applications. In this work, a hybrid structured deep delayed feedback reservoir (Deep-DFR) computing model is proposed and fabricated. Our …
Continue reading at dl.acm.org (other versions)

Classifications

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    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G06N3/0635—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means using analogue means
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06N3/082—Learning methods modifying the architecture, e.g. adding or deleting nodes or connections, pruning
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