15
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

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

      , , , ,
      Journal of Hydrology
      Elsevier BV

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references26

          • Record: found
          • Abstract: not found
          • Article: not found

          Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Support vector regression for real-time flood stage forecasting

                Bookmark

                Author and article information

                Journal
                Journal of Hydrology
                Journal of Hydrology
                Elsevier BV
                00221694
                January 2011
                January 2011
                : 396
                : 1-2
                : 128-138
                Article
                10.1016/j.jhydrol.2010.11.002
                536f882e-632f-41b5-99d1-e019963dac92
                © 2011

                http://www.elsevier.com/tdm/userlicense/1.0/

                History

                Comments

                Comment on this article