Spatial and Temporal Patterns of Groundwater Levels: A Case Study of Alluvial Aquifers in the Murray–Darling Basin, Australia
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- Stephanie R. Clark & Dan Pagendam & Louise Ryan, 2022. "Forecasting Multiple Groundwater Time Series with Local and Global Deep Learning Networks," IJERPH, MDPI, vol. 19(9), pages 1-31, April.
- Inge E. M. Graaf & Tom Gleeson & L. P. H. (Rens) van Beek & Edwin H. Sutanudjaja & Marc F. P. Bierkens, 2019. "Environmental flow limits to global groundwater pumping," Nature, Nature, vol. 574(7776), pages 90-94, October.
- Mangiameli, Paul & Chen, Shaw K. & West, David, 1996. "A comparison of SOM neural network and hierarchical clustering methods," European Journal of Operational Research, Elsevier, vol. 93(2), pages 402-417, September.
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Keywords
clustering; groundwater; machine learning; Murray–Darling Basin; neural networks; trend analysis; unsupervised learning;All these keywords.
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