Browsing Earth Sciences by Subject "Neural networks"
Now showing items 1-2 of 2
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A comparison of ensemble and deep learning algorithms to model groundwater levels in a data-scarce aquifer of Southern Africa
(MDPI, 2022)Machine learning and deep learning have demonstrated usefulness in modelling various groundwater phenomena. However, these techniques require large amounts of data to develop reliable models. In the Southern African ... -
Water quality prediction based on multi-task learning
(MDPI, 2022)Water pollution seriously endangers people’s lives and restricts the sustainable development of the economy. Water quality prediction is essential for early warning and prevention of water pollution. However, the nonlinear ...