TBESO-BP: an improved regression model for predicting subclinical mastitis
The TBESO-BP model emerges as a precise tool for predicting subclinical mastitis in dairy cows. The TBESO algorithm notably enhances the efficacy of the BP neural network in regression prediction, ensuring elevated computational efficiency and practicality post-improvement.
Authors
- Huan Liu (ORCID: https://orcid.org/0000-0002-2065-8307)
- Zhihui Wang (ORCID: https://orcid.org/0000-0001-8140-1882)
- Kong Wan Han
- Junjie Hu (ORCID: https://orcid.org/0000-0002-1911-4361)
- Leilei Liu (ORCID: https://orcid.org/0000-0001-7799-6027)
- Wei Liping
- Yongqiang Dai (ORCID: https://orcid.org/0000-0002-4200-964X)
Institutions
- Gansu Agricultural University (CN)
- Jinchuan (China) (CN)
Publication Details
- Journal
- Frontiers in Veterinary Science
- Published
- 2025-04-01
- DOI
- https://doi.org/10.3389/fvets.2025.1396799
- Primary Topic
- Milk Quality and Mastitis in Dairy Cows
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Gansu Province