Autoencoders (Ordinary type)

Version 1.6 (98,9 ko) par BERGHOUT Tarek
the function returns a fully trained auto-encoder based ELM
1,9K téléchargements
Mise à jour 30 mai 2020

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the Algorithm returns a fully trained autoencoder based ELM, you can use it to train a deep network by changing the original feature representations,it code or decode any input simple depending on the training parameters (input and output weights ) .

please cite as :

B. Tarek, H. Mouss, O. Kadri, L. Saïdi, and M. Benbouzid, “Aircraft Engines Remaining Useful Life Prediction using an Improved Online Sequential Extreme Learning Machine,” Appl. Sci., 2020.

In this link an example of regenerating of an image from the encoded matrix using an autoencoder is illustrated:

https://www.youtube.com/watch?v=ZdyUnbbSdN8&feature=youtu.be

Citation pour cette source

B. Tarek, H. Mouss, O. Kadri, L. Saïdi, and M. Benbouzid, “Aircraft Engines Remaining Useful Life Prediction using an Improved Online Sequential Extreme Learning Machine,” Appl. Sci., 2020.

Compatibilité avec les versions de MATLAB
Créé avec R2009a
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux
Catégories
En savoir plus sur Statistics and Machine Learning Toolbox dans Help Center et MATLAB Answers
Remerciements

Inspiré par : Run Length coding

A inspiré : Denoising Autoencoder

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Version Publié le Notes de version
1.6

description

1.5

citation is add

1.4

new version

1.3

new version with improvement, to make easy to undrestand from the newcomers To autoencoders

1.2

new features

1.1

image

1.0