Denoising Autoencoder

Version 1.8.0 (749 ko) par BERGHOUT Tarek
In this code a full version of denoising autoencoder is presented.
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Mise à jour 6 sept. 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

Citation pour cette source

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

Compatibilité avec les versions de MATLAB
Créé avec R2013b
Compatible avec toutes les versions
Plateformes compatibles
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Inspiré par : Autoencoders (Ordinary type)

denoising_AEs_frames

denoising_AEs_frames

Version Publié le Notes de version
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