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Spatial prediction of groundwater potential mapping based on convolutional neural network (CNN) and support vector regression (SVR)

Spatial prediction of groundwater potential mapping based on convolutional neural network (CNN)... http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Hydrology CrossRef

Spatial prediction of groundwater potential mapping based on convolutional neural network (CNN) and support vector regression (SVR)

Panahi, Mahdi; Sadhasivam, Nitheshnirmal; Pourghasemi, Hamid Reza; Rezaie, Fatemeh; Lee, Saro
Journal of Hydrology , Volume 588: 125033 – Sep 1, 2020
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Publisher
CrossRef
Copyright
© 2020 Elsevier B.V. All rights reserved.
ISSN
0022-1694
DOI
10.1016/j.jhydrol.2020.125033
Publisher site
See Article on Publisher Site

Abstract

Journal

Journal of Hydrology – CrossRef

Published: Sep 1, 2020

References

  • Assessing the accuracy of GIS-based elementary multi criteria decision analysis as a spatial prediction tool–a case of predicting potential zones of sustainable groundwater resources
    Adiat
  • Landslide susceptibility assessment using a novel hybrid model of statistical bivariate methods (FR and WOE) and adaptive neuro-fuzzy inference system (ANFIS) at southern Zagros Mountains in Iran
    Aghdam
  • A GIS-based combining of frequency ratio and index of entropy approaches for mapping groundwater availability zones at Badra–Al Al-Gharbi–Teeb areas, Iraq
    Al-Abadi