An RVFLNs ensemble modeling method integrating PCA and PSO: Application to yield prediction of Nongxiang Baijiu.
Saved in:
| Title: | An RVFLNs ensemble modeling method integrating PCA and PSO: Application to yield prediction of Nongxiang Baijiu. |
|---|---|
| Authors: | Han Q; Intelligence Perception and Control Key Laboratory of Sichuan Province, School of Automation and Information Engineering, Sichuan University of Science & Engineering, Yibin, Sichuan, China.; Luzhou Laojiao Co., Ltd., Luzhou, China.; Department of Automation, Tsinghua University, Beijing, China., Xu Y; Intelligence Perception and Control Key Laboratory of Sichuan Province, School of Automation and Information Engineering, Sichuan University of Science & Engineering, Yibin, Sichuan, China., Zhang S; Luzhou Laojiao Co., Ltd., Luzhou, China.; Solid-state Brewing Technology Innovation Center of Sichuan, Luzhou, China., Deng Q; Intelligence Perception and Control Key Laboratory of Sichuan Province, School of Automation and Information Engineering, Sichuan University of Science & Engineering, Yibin, Sichuan, China., Deng L; Intelligence Perception and Control Key Laboratory of Sichuan Province, School of Automation and Information Engineering, Sichuan University of Science & Engineering, Yibin, Sichuan, China., Zhang L; Luzhou Laojiao Co., Ltd., Luzhou, China., Qin H; Luzhou Laojiao Co., Ltd., Luzhou, China., Zhao J; Luzhou Laojiao Co., Ltd., Luzhou, China., Liu B; Luzhou Laojiao Co., Ltd., Luzhou, China. |
| Source: | PloS one [PLoS One] 2026 May 06; Vol. 21 (5), pp. e0348784. Date of Electronic Publication: 2026 May 06 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1932-6203 |
|---|---|
| DOI: | 10.1371/journal.pone.0348784 |
