Modelling Freshwater Eutrophication with Limited Limnological Data Using Artificial Neural Networks
Modelling Freshwater Eutrophication with Limited Limnological Data Using Artificial Neural Networks
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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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. With this paper, we investigate the optimal k-fold cr...
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Modelling Freshwater Eutrophication with Limited Limnological Data Using Artificial Neural Networks
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TN_cdi_proquest_journals_2539998115
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2539998115
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ISSN
2073-4441
E-ISSN
2073-4441
DOI
10.3390/w13111590
