articleJournal of HydrologyNov 12, 2010Closed access

A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquifer

Seoul National University

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Abstract

No abstract available for this paper.

Citation impact

634
total citations
FWCI
9.03
Percentile
100%
References
49
Citations per year

Authors

5

Topics & keywords

Keywords
  • Support vector machine
  • Artificial neural network
  • Mean squared error
  • Aquifer
  • Computer science
  • Generalization
  • Groundwater
  • Artificial intelligence
UN Sustainable Development Goals
  • Life below water
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