A comparative analysis of artificial neural networks and wavelet hybrid approaches to long-term toxic heavy metal prediction
Abstract 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 inp...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2020-08-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-020-70438-8 |