Soft sensor modeling method for Pichia pastoris fermentation process based on substructure domain transfer learning
The proposed soft sensor modeling method can accurately predict Pichia pastoris concentration and inulinase concentration online under different working conditions, and has higher prediction accuracy than the traditional soft sensor modeling method.
Authors
- Shaowen Huang (ORCID: https://orcid.org/0009-0003-8432-2647)
- Le Zhang (ORCID: https://orcid.org/0000-0002-9125-4756)
- Bo Wang (ORCID: https://orcid.org/0000-0001-6282-3764)
- Hui Jiang (ORCID: https://orcid.org/0000-0001-6245-9958)
- Jun Wei (ORCID: https://orcid.org/0000-0002-9583-1346)
- Cheng Jin (ORCID: https://orcid.org/0000-0001-7737-5781)
Institutions
- Jiangsu University (CN)
- Wuxi Taihu Hospital (CN)
Publication Details
- Journal
- BMC Biotechnology
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1186/s12896-024-00928-4
- Citations
- 2
- Primary Topic
- Advanced Algorithms and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.66
Funders
- National Natural Science Foundation of China