Autoencoders (Ordinary type)

Version 1.6 (98,9 KB) von BERGHOUT Tarek
the function returns a fully trained auto-encoder based ELM
1,9K Downloads
Aktualisiert 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

Zitieren als

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.

Kompatibilität der MATLAB-Version
Erstellt mit R2009a
Kompatibel mit allen Versionen
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Inspiriert von: Run Length coding

Inspiriert: Denoising Autoencoder

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Version Veröffentlicht Versionshinweise
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