Auto-Encoder Based Model for High-Dimensional Imbalanced Industrial Data-Reference-Cited by-同舟云学术

Auto-Encoder Based Model for High-Dimensional Imbalanced Industrial Data

Published:2021 Issue: Volume: Page:265-273
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Zhang Chao^ORCID,Bom Sthitie

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-92307-5_31

Reference15 articles.

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3. Yuan, X., Huang, B., Wang, Y., Yang, C., Gui, W.: Deep learning-based feature representation and its application for soft sensor modeling with variable-wise weighted SAE. IEEE Trans. Industr. Inf. 14(7), 3235–3243 (2018)

4. Yuan, X., Zhou, J., Huang, B., Wang, Y., Yang, C., Gui, W.: Hierarchical quality-relevant feature representation for soft sensor modeling: a novel deep learning strategy. IEEE Trans. Industr. Inf. 16(6), 3721–3730 (2019)

5. Han, K., Wang, Y., Zhang, C., Li, C., Xu, C.: Autoencoder inspired unsupervised feature selection. In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2941–2945. IEEE (2018)

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