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Leung et al., 2010 - Google Patents

On the selection of weight decay parameter for faulty networks

Leung et al., 2010

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Document ID
11317612038172211728
Author
Leung C
Wang H
Sum J
Publication year
Publication venue
IEEE Transactions on Neural Networks

External Links

Snippet

The weight-decay technique is an effective approach to handle overfitting and weight fault. For fault-free networks, without an appropriate value of decay parameter, the trained network is either overfitted or underfitted. However, many existing results on the selection of decay …
Continue reading at john.digi-pack.io (PDF) (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
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