Can artificial neural network handle noise?
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| Papers (10) | Insight |
|---|---|
01 Jul 2012 24 Citations | Finally we show that our neural network can cope with a fair amount of noise. |
Open access•Journal Article 10 Citations | Therefore, the proposed neural network can train using clean speech and noise. |
71 Citations | It is shown that the artificial neural networks can be a useful tool for the prediction of noise with sufficient accuracy. |
7 Citations | It is demonstrated by this feasibility study that artificial neural networks (ANN) can successfully be applied as noise cancelers. |
74 Citations | The tests also show that the neural network is robust to noise from random input spikes. |
10 Citations | Subsequently the trained neural network is supposed to solve a problem of noise removal from a given image. This study is supposed to underline potential of biologically realistic models of neural network, which - with a bit of invention - can be used like conventional artificial neural networks. |
19 Citations | We also demonstrate that the inherent error resiliency of a fully connected or even convolutional neural network can handle the noise as well as the manufacturing nonidealities of the MS-N up to certain degrees. |
07 Jul 2012 11 Citations | Adaptive noise cancellation technology, based on neural network, is a good kind of signal processing technology, which can eliminate noise from unknown noise resources. |
28 Jul 2015 98 Citations | In addition, this deep neural network represents strong robustness and eliminates the impact of noise remarkably. |
| Also, the neural network is clearly capable of distinguishing between chaos and additive noise. |
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