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Humidity and Temperature Prediction of Daqu Fermentation Environment Based on CNN-LSTM-Self-Attention Model with Random Forest Feature Selection

Crossref DOI link: https://doi.org/10.1007/s12161-025-02868-x

Published Online: 2025-07-28

Published Print: 2025-10

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Yang, Haili

Liao, Xilong

Liu, Sai

Chen, Shan

Li, Lan

Hu, Xinjun

Tian, Jianping

Xie, Liangliang

Fei, Lei
Funding

Funding for this research was provided by:

the Anhui Provincial Key Laboratory of Intelligent Brewing Technology for Solid State Fermentation (GJ200020240429010)

the Anhui Provincial Key Laboratory of Intelligent Brewing Technology for Solid State Fermentation (GJ200020240429010)

the Anhui Provincial Key Laboratory of Intelligent Brewing Technology for Solid State Fermentation (GJ200020240429010)

the Anhui Provincial Key Laboratory of Intelligent Brewing Technology for Solid State Fermentation (GJ200020240429010)

the Anhui Provincial Key Laboratory of Intelligent Brewing Technology for Solid State Fermentation (GJ200020240429010)

the Anhui Provincial Key Laboratory of Intelligent Brewing Technology for Solid State Fermentation (GJ200020240429010)

Sichuan Provincial Science and Technology Support Program (2023YFS0451)

Sichuan Provincial Science and Technology Support Program (2023YFS0451)

Liquor Making Biological Technology and Application of Key Laboratory of Sichuan Province (NJ2022-08)

Liquor Making Biological Technology and Application of Key Laboratory of Sichuan Province (NJ2022-08)
License Information

Text and Data Mining valid from 2025-07-28

Version of Record valid from 2025-07-28
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Article History

Received: 5 June 2025

Accepted: 14 July 2025

First Online: 28 July 2025

Declarations

:

: The authors declare no competing interests.

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