Spatial prediction of groundwater potentiality using ANFIS ensembled with teaching-learning-based and biogeography-based optimization Article

Chen, Wei, Panahi, Mandi, Khosravi, Khabat et al. (2019). Spatial prediction of groundwater potentiality using ANFIS ensembled with teaching-learning-based and biogeography-based optimization . JOURNAL OF HYDROLOGY, 572 435-448. 10.1016/j.jhydrol.2019.03.013

ESI Most Cited Paper International Collaboration

cited authors

  • Chen, Wei; Panahi, Mandi; Khosravi, Khabat; Pourghasemi, Hamid Reza; Rezaie, Fatemeh; Parvinnezhad, Davoud

sustainable development goals

authors

publication date

  • May 1, 2019

published in

keywords

  • ANFIS
  • BBO
  • China
  • DATA MINING TECHNIQUES
  • Engineering
  • Engineering, Civil
  • FREQUENCY RATIO
  • FUZZY INFERENCE SYSTEM
  • GENETIC ALGORITHM
  • GIS
  • Geology
  • Geosciences, Multidisciplinary
  • Groundwater potentiality
  • LOGISTIC-REGRESSION
  • NAIVE BAYES TREE
  • PERFORMANCE EVALUATION
  • Physical Sciences
  • SUSCEPTIBILITY ASSESSMENT
  • Science & Technology
  • TLBO
  • Technology
  • WEIGHTS-OF-EVIDENCE
  • Water Resources

Digital Object Identifier (DOI)

publisher

  • ELSEVIER

start page

  • 435

end page

  • 448

volume

  • 572