Autoencoders (Ordinary type)
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
인용 양식
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 릴리스 호환 정보
플랫폼 호환성
Windows macOS Linux카테고리
태그
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!AE_ELM
버전 | 게시됨 | 릴리스 정보 | |
---|---|---|---|
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 |
|