DEVDAN: Deep evolving denoising autoencoder

DEVDAN: Deep evolving denoising autoencoder

The Denoising Autoencoder (DAE) enhances the flexibility of data stream method in exploiting unlabeled samples. Nonetheless, the feasibility of DAE for data stream analytic deserves in-depth study because it characterizes a fixed network capacity which cannot adapt to rapidly changing environments....

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Bibliographic Details
Main Authors: Ashfahani, Andri, Pratama, Mahardhika, Lughofer, Edwin, Ong, Yew Soon
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Engineering::Computer science and engineering
Denoising Autoencoder
Data Streams
Online Access:https://hdl.handle.net/10356/160972

Internet

https://hdl.handle.net/10356/160972

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