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Prediction of GWL with the help of GRACE TWS for unevenly spaced time series data in India : Analysis of comparative performances of SVR, ANN and LRM

Mukherjee, A. and Ramachandran, P., 2018. Prediction of GWL with the help of GRACE TWS for unevenly spaced time series data in India : Analysis of comparative performances of SVR, ANN and LRM. Journal of Hydrology, 558:647–658, doi:10.1016/j.jhydrol.2018.02.005.

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BibTeX

@ARTICLE{2018JHyd..558..647M,
   author = {{Mukherjee}, A. and {Ramachandran}, P.},
    title = "{Prediction of GWL with the help of GRACE TWS for unevenly spaced time series data in India : Analysis of comparative performances of SVR, ANN and LRM}",
  journal = {Journal of Hydrology},
 keywords = {Groundwater level prediction, GRACE gravitational anomalies, Linear regression model, Support vector regression, Artificial neural network},
     year = 2018,
    month = mar,
   volume = 558,
    pages = {647-658},
      doi = {10.1016/j.jhydrol.2018.02.005},
   adsurl = {http://adsabs.harvard.edu/abs/2018JHyd..558..647M},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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