A novel hybrid artificial intelligence approach for flood susceptibility assessment Article

Chapi, Kamran, Singh, Vijay P, Shirzadi, Ataollah et al. (2017). A novel hybrid artificial intelligence approach for flood susceptibility assessment . ENVIRONMENTAL MODELLING & SOFTWARE, 95 229-245. 10.1016/j.envsoft.2017.06.012

ESI Most Cited Paper International Collaboration

cited authors

  • Chapi, Kamran; Singh, Vijay P; Shirzadi, Ataollah; Shahabi, Himan; Dieu, Tien Bui; Binh, Thai Pham; Khosravi, Khabat

sustainable development goals

publication date

  • September 1, 2017

published in

keywords

  • ANALYTIC HIERARCHY PROCESS
  • BIVARIATE
  • Bagging-LMT
  • Bayesian logistic regression
  • Computer Science
  • Computer Science, Interdisciplinary Applications
  • Engineering
  • Engineering, Environmental
  • Environmental Sciences
  • Environmental Sciences & Ecology
  • Flood susceptibility
  • GIS
  • HAZARD AREAS
  • IRAN
  • Iran
  • Life Sciences & Biomedicine
  • Logistic model tree
  • MANAGEMENT
  • MODEL
  • Physical Sciences
  • REGION
  • SPATIAL PREDICTION
  • Science & Technology
  • Technology
  • VALIDATION
  • Water Resources

Digital Object Identifier (DOI)

publisher

  • ELSEVIER SCI LTD

start page

  • 229

end page

  • 245

volume

  • 95