Predicting stable gravel-bed river hydraulic geometry: A test of novel, advanced, hybrid data mining algorithms Article

Khosravi, Khabat, Khozani, Zohreh Sheikh, Cooper, James R. (2021). Predicting stable gravel-bed river hydraulic geometry: A test of novel, advanced, hybrid data mining algorithms . ENVIRONMENTAL MODELLING & SOFTWARE, 144 10.1016/j.envsoft.2021.105165

Open Access International Collaboration

cited authors

  • Khosravi, Khabat; Khozani, Zohreh Sheikh; Cooper, James R

authors

publication date

  • October 1, 2021

published in

keywords

  • Artificial intelligence
  • CATCHMENT
  • CIRCULAR CHANNELS
  • Computer Science
  • Computer Science, Interdisciplinary Applications
  • DESIGN
  • Data mining
  • Engineering
  • Engineering, Environmental
  • Environmental Sciences
  • Environmental Sciences & Ecology
  • Gravel-bed rivers
  • Hydraulic geometry
  • Life Sciences & Biomedicine
  • MODEL
  • Machine learning
  • Modelling
  • NEURAL-NETWORKS
  • Physical Sciences
  • REGIME EQUATIONS
  • REGRESSION
  • SHEAR-STRESS DISTRIBUTION
  • SYSTEM
  • Science & Technology
  • Technology
  • Water Resources

Digital Object Identifier (DOI)

publisher

  • ELSEVIER SCI LTD

volume

  • 144