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Autoencoders (Ordinary type)

version 1.6 (98.9 KB) by BERGHOUT Tarek
the function returns a fully trained auto-encoder based ELM

1.4K Downloads

Updated 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

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.

MATLAB Release Compatibility
Created with R2009a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired by: Run Length coding

Inspired: Denoising Autoencoder

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