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Learning simple additive weighting parameters for subsidence vulnerability indices in Tehran plain (Iran) by artificial intelligence methods

Author(s): (Department of Engineering Geology, Faculty of Basic Science, Tarbiat Modares University, Tehran, Iran)
(Department of Engineering Geology, Faculty of Basic Science, Tarbiat Modares University, Tehran, Iran)
(Department of Earth Sciences, Faculty of Natural Sciences, University of Tabriz, Tabriz, East Azerbaijan, Iran)
(Department of Remote Sensing (GIS), Faculty of Humanities, Tarbiat Modares University, Tehran, Iran)
Medium: journal article
Language(s): English
Published in: European Journal of Environmental and Civil Engineering, , n. 1, v. 28
Page(s): 1-20
DOI: 10.1080/19648189.2023.2205914
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1080/19648189.2023.2205914.
  • About this
    data sheet
  • Reference-ID
    10726286
  • Published on:
    30/05/2023
  • Last updated on:
    14/01/2024
 
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