Denoising Autoencoder

Version 1.8.0 (749 KB) von BERGHOUT Tarek
In this code a full version of denoising autoencoder is presented.
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Aktualisiert 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.

Kompatibilität der MATLAB-Version
Erstellt mit R2013b
Kompatibel mit allen Versionen
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Inspiriert von: Autoencoders (Ordinary type)

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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