A comparative analysis of artificial neural networks and wavelet hybrid approaches to long-term toxic heavy metal prediction

The occurrence of toxic metals in the aquatic environment is as caused by a variety of contaminations which makes difficulty in the concentration prediction. In this study, conventional methods of back-propagation neural network (BPNN) and nonlinear autoregressive network with exogenous inputs (NARX...

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Detalles Bibliográficos
Autores principales: Li, Peifeng, Hua, Pei, Gui, Dongwei, Niu, Jie, Pei, Peng, Zhang, Jin, Krebs, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7417571/
https://www.ncbi.nlm.nih.gov/pubmed/32778720
http://dx.doi.org/10.1038/s41598-020-70438-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7417571/
https://www.ncbi.nlm.nih.gov/pubmed/32778720
http://dx.doi.org/10.1038/s41598-020-70438-8

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