Autoencoders (Ordinary type)

the function returns a fully trained auto-encoder based ELM
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Actualizado 30 May 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

Citar como

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.

Compatibilidad con la versión de MATLAB
Se creó con R2009a
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux
Categorías
Más información sobre Statistics and Machine Learning Toolbox en Help Center y MATLAB Answers.
Agradecimientos

Inspirado por: Run Length coding

Inspiración para: Denoising Autoencoder

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Versión Publicado Notas de la versión
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