A novel approach for forecasting algal bloom: long short-term memory artificial neural network with exponential smoothing feedback optimized by the arithmetic mean algorithm.
- DOI
- 10.1038/s41598-026-57110-3
- Published
- 2026 Jun 11
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-57110-3,
title = {A novel approach for forecasting algal bloom: long short-term memory artificial neural network with exponential smoothing feedback optimized by the arithmetic mean algorithm.},
author = {Isık H and Egrioglu E and Bas E and Akkan BE and Akkan T},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-57110-3},
url = {https://doi.org/10.1038/s41598-026-57110-3}
}RIS
TY - JOUR TI - A novel approach for forecasting algal bloom: long short-term memory artificial neural network with exponential smoothing feedback optimized by the arithmetic mean algorithm. AU - Isık H AU - Egrioglu E AU - Bas E AU - Akkan BE AU - Akkan T PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-57110-3 UR - https://doi.org/10.1038/s41598-026-57110-3 ER -
APA
H, I., E, E., E, B., BE, A., & T, A. (2026). A novel approach for forecasting algal bloom: long short-term memory artificial neural network with exponential smoothing feedback optimized by the arithmetic mean algorithm.. Scientific reports. https://doi.org/10.1038/s41598-026-57110-3
Source records
- pubmed · retrieved 2026-09-25T11:36:51.920Z