https://doi.org/10.7490/f1000research.1115971.1
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Gomezdelcampo E, More PR and Roberts SJ. A resilient wet prairie? Predicting shallow groundwater levels changes using machine learning [version 1; not peer reviewed]. F1000Research 2018, 7:1300 (poster) (https://doi.org/10.7490/f1000research.1115971.1)
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A resilient wet prairie? Predicting shallow groundwater levels changes using machine learning

Enrique Gomezdelcampo1, Priyanka R. More, Sheila J. Roberts
Author Affiliations
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Published 15 Aug 2018

A resilient wet prairie? Predicting shallow groundwater levels changes using machine learning

[version 1; not peer reviewed]

Enrique Gomezdelcampo1, Priyanka R. More, Sheila J. Roberts
Author Affiliations
1 Bowling Green State University, USA
Presented at
103rd Ecological Society Of America (ESA) Annual Meeting 2018
Abstract
Competing Interests

No competing interests were disclosed

Keywords
wetlands, wet prairie, shallow groundwater, hydrologic modeling, Neural Networks, ANN
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