Denoising Autoencoder

In this code a full version of denoising autoencoder is presented.

Version 1.8.0 (749 KB)
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(5)
6. Sep 2020

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for better understanding you should read this paper which describes an example of the contribution of this work :

https://www.researchgate.net/publication/344073280_Aircraft_Engines_Remaining_Useful_Life_Prediction_with_an_Adaptive_Denoising_Online_Sequential_Extreme_Learning_Machine

Zitieren als

BERGHOUT Tarek (2026). Denoising Autoencoder (https://de.mathworks.com/matlabcentral/fileexchange/71115-denoising-autoencoder), MATLAB Central File Exchange. Abgerufen .

Quellenangaben

Inspiriert von: Autoencoders (Ordinary type)

Allgemeine Informationen

Kompatibilität der MATLAB-Version

  • Kompatibel mit allen Versionen

Plattform-Kompatibilität

  • Windows
  • macOS
  • Linux
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Version Veröffentlicht Versionshinweise
1.8.0

published work link
1.7.0

description
1.5.0

After completing the training process,we will no longer in need To use old Input Weights for mapping the inputs to the hidden layer, and instead of that we will use the Outputweights beta for both coding and decoding phases and.
1.4.0

some coments are added

1.3.0

a new version that trains an autoencoders by adding random samples of noise in each frame (block of data) .
1.2.0

new version
1.1.0

a new illustration image is description notes Note were added
1.0.0