A novel ensemble learning based on Bayesian Belief Network coupled with an extreme learning machine for flash flood susceptibility mapping Article

Shirzadi, Ataollah, Asadi, Shahrokh, Shahabi, Himan et al. (2020). A novel ensemble learning based on Bayesian Belief Network coupled with an extreme learning machine for flash flood susceptibility mapping . ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 96 10.1016/j.engappai.2020.103971

International Collaboration

cited authors

  • Shirzadi, Ataollah; Asadi, Shahrokh; Shahabi, Himan; Ronoud, Somayeh; Clague, John J; Khosravi, Khabat; Binh, Thai Pham; Ahmad, Baharin Bin; Dieu, Tien Bui

sustainable development goals

authors

publication date

  • November 1, 2020

published in

keywords

  • ARTIFICIAL-INTELLIGENCE APPROACH
  • Automation & Control Systems
  • Computer Science
  • Computer Science, Artificial Intelligence
  • ERROR PRUNING TREES
  • EVENTS APPLICATION
  • Engineering
  • Engineering, Electrical & Electronic
  • Engineering, Multidisciplinary
  • Ensemble learning
  • Environmental modeling
  • FUZZY INFERENCE SYSTEM
  • Flash flood
  • HYBRID
  • NEURAL-NETWORK
  • Optimization
  • Predicting system
  • REGRESSION
  • ROTATION FOREST
  • SELECTION
  • Science & Technology
  • Technology
  • WEIGHTS-OF-EVIDENCE

Digital Object Identifier (DOI)

publisher

  • PERGAMON-ELSEVIER SCIENCE LTD

volume

  • 96