/Soft_Sensor_Experiments

Primary LanguagePythonApache License 2.0Apache-2.0

Soft Sensor Experiments

The code of Soft Sensor Experiments

Stacked Auto Encoder

This file is a pytorch realization of this papaer:

A novel semi-supervised pre-training strategy for deep networks and its application for quality variable prediction in industrial processes

VW-SAE

This file is a pytorch realization of this papaer:

Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE

T-SAE

This file is a pytorch realization of this papaer (part):

Gated Stacked Target-Related Autoencoder: A Novel Deep Feature Extraction and Layerwise Ensemble Method for Industrial Soft Sensor Application

GSTAE

This file is a pytorch realization of this papaer (part):

Gated Stacked Target-Related Autoencoder: A Novel Deep Feature Extraction and Layerwise Ensemble Method for Industrial Soft Sensor Application

Contact Me

Justus
12032042@zju.edu.cn
or
chenzhch7@mail3.sysu.edu.cn

Notice

Please cite the corresponding paper if the code shown aboved is used in your research.
如果在您的研究中使用了上述代码，请引用对应的论文。

Copyright

No reprobaiction without permission. Please indicate the source if authorized.
未经许可, 严禁转载。 转载请说明出处。

Special Annuouncement

The data proposed in this repo is downloaded via this link. No confidential data is involved!
本仓库的数据是通过此链接下载得到。不涉及任何保密数据!