Monthly suspended sediment load prediction using artificial intelligence: testing of a new random subspace method Article

Nhu, Viet-Ha, Khosravi, Khabat, Cooper, James R et al. (2020). Monthly suspended sediment load prediction using artificial intelligence: testing of a new random subspace method . HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 65(12), 2116-2127. 10.1080/02626667.2020.1754419

International Collaboration

cited authors

  • Nhu, Viet-Ha; Khosravi, Khabat; Cooper, James R; Karimi, Mahshid; Kisi, Ozgur; Pham, Binh Thai; Lyu, Zongjie

publication date

  • September 9, 2020

keywords

  • CLASSIFIER
  • DECISION TREE
  • MODELS
  • NEURAL-NETWORKS
  • Physical Sciences
  • RANDOM FORESTS
  • RATING CURVES
  • RIVER
  • SUPPORT VECTOR MACHINES
  • SUSCEPTIBILITY ASSESSMENT
  • Science & Technology
  • WEIGHTS-OF-EVIDENCE
  • Water Resources
  • artificial intelligence
  • random forest
  • random subspace
  • rivers
  • support vector machine
  • suspended sediment

Digital Object Identifier (DOI)

publisher

  • TAYLOR & FRANCIS LTD

start page

  • 2116

end page

  • 2127

volume

  • 65

issue

  • 12