Comparative evaluation of deterministic and Bayesian neural networks for chlorophyll-a time series forecasting in eutrophic lakes: A case study of Dianchi Lake, China.
- DOI
- 10.1016/j.envres.2026.125082
- Published
- 2026 Sep 15
- Container
- Environmental research
- Publisher
- Not recorded
- Open access
- unknown
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BibTeX
@article{allodium:10.1016/j.envres.2026.125082,
title = {Comparative evaluation of deterministic and Bayesian neural networks for chlorophyll-a time series forecasting in eutrophic lakes: A case study of Dianchi Lake, China.},
author = {Yang J and Huang Y and Zhu Z and Li Y and Liang Z and Liu Y},
year = {2026},
journal = {Environmental research},
doi = {10.1016/j.envres.2026.125082},
url = {https://doi.org/10.1016/j.envres.2026.125082}
}RIS
TY - JOUR TI - Comparative evaluation of deterministic and Bayesian neural networks for chlorophyll-a time series forecasting in eutrophic lakes: A case study of Dianchi Lake, China. AU - Yang J AU - Huang Y AU - Zhu Z AU - Li Y AU - Liang Z AU - Liu Y PY - 2026 JO - Environmental research DO - 10.1016/j.envres.2026.125082 UR - https://doi.org/10.1016/j.envres.2026.125082 ER -
APA
J, Y., Y, H., Z, Z., Y, L., Z, L., & Y, L. (2026). Comparative evaluation of deterministic and Bayesian neural networks for chlorophyll-a time series forecasting in eutrophic lakes: A case study of Dianchi Lake, China.. Environmental research. https://doi.org/10.1016/j.envres.2026.125082
Source records
- pubmed · retrieved 2026-09-25T15:39:37.858Z