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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| 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 |