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Reyes et al., 2001 - Google Patents

Influence of noise on discrete time backpropagation trained networks

Reyes et al., 2001

Document ID
15023243083627403661
Author
Reyes J
Duro R
Publication year
Publication venue
Neurocomputing

External Links

Snippet

Noise is a characteristic of real signals that is not often adequately studied when introducing neural networks and training algorithms for signal prediction and reconstruction. In this paper we carry out a study of the effects of training noise, both in the inputs and targets, and …
Continue reading at www.sciencedirect.com (other versions)

Classifications

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    • G06N3/0472—Architectures, e.g. interconnection topology using probabilistic elements, e.g. p-rams, stochastic processors
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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