Modelling Freshwater Eutrophication with Limited Limnological Data Using Artificial Neural Networks

Modelling Freshwater Eutrophication with Limited Limnological Data Using Artificial Neural Networks

Artificial Neural Networks (ANNs) have wide applications in aquatic ecology and specifically in modelling water quality and biotic responses to environmental predictors. However, data scarcity is a common problem that raises the need to optimize modelling approaches to overcome data limitations. Wit...

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Bibliographic Details
Main Authors: Ekaterini Hadjisolomou, Konstantinos Stefanidis, Herodotos Herodotou, Michalis Michaelides, George Papatheodorou, Eva Papastergiadou
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Water
Subjects:
data scarcity
<i>k</i>-fold cross validation
artificial neural network
eutrophication
Online Access:https://www.mdpi.com/2073-4441/13/11/1590

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https://www.mdpi.com/2073-4441/13/11/1590

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