An RVFLNs ensemble modeling method integrating PCA and PSO: Application to yield prediction of Nongxiang Baijiu
- DOI
- 10.1371/journal.pone.0348784
- Published
- 2026-05-06
- Container
- PLOS One
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0348784,
title = {An RVFLNs ensemble modeling method integrating PCA and PSO: Application to yield prediction of Nongxiang Baijiu},
author = {Qiang Han and Yibo Xu and Suyi Zhang and Qinwen Deng and Lan Deng and Liang Zhang and Hui Qin and Jie Zhao and Bo Liu},
year = {2026},
journal = {PLOS One},
doi = {10.1371/journal.pone.0348784},
url = {https://doi.org/10.1371/journal.pone.0348784}
}RIS
TY - JOUR TI - An RVFLNs ensemble modeling method integrating PCA and PSO: Application to yield prediction of Nongxiang Baijiu AU - Qiang Han AU - Yibo Xu AU - Suyi Zhang AU - Qinwen Deng AU - Lan Deng AU - Liang Zhang AU - Hui Qin AU - Jie Zhao AU - Bo Liu PY - 2026 JO - PLOS One DO - 10.1371/journal.pone.0348784 UR - https://doi.org/10.1371/journal.pone.0348784 ER -
APA
Han, Q., Xu, Y., Zhang, S., Deng, Q., Deng, L., Zhang, L., Qin, H., Zhao, J., & Liu, B. (2026). An RVFLNs ensemble modeling method integrating PCA and PSO: Application to yield prediction of Nongxiang Baijiu. PLOS One. https://doi.org/10.1371/journal.pone.0348784
Source records
- crossref · retrieved 2026-11-06T10:28:40.809Z