Iterative classifier optimizer-based pace regression and random forest hybrid models for suspended sediment load prediction Article

Meshram, Sarita Gajbhiye, Safari, Mir Jafar Sadegh, Khosravi, Khabat et al. (2021). Iterative classifier optimizer-based pace regression and random forest hybrid models for suspended sediment load prediction . ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 28(9), 11637-11649. 10.1007/s11356-020-11335-5

International Collaboration

cited authors

  • Meshram, Sarita Gajbhiye; Safari, Mir Jafar Sadegh; Khosravi, Khabat; Meshram, Chandrashekhar

sustainable development goals

authors

publication date

  • March 1, 2021

published in

keywords

  • ARTIFICIAL NEURAL-NETWORKS
  • Environmental Sciences
  • Environmental Sciences & Ecology
  • Hybrid technique
  • INTELLIGENCE MODEL
  • Iterative classifier optimizer
  • Life Sciences & Biomedicine
  • MINES
  • Pace regression
  • RIVER
  • RUNOFF
  • Random forest
  • River
  • SIMULATION
  • SOIL-EROSION
  • STATISTICAL-MODELS
  • STREAMFLOW
  • Science & Technology
  • Suspended sediment load
  • WATER-QUALITY

Digital Object Identifier (DOI)

publisher

  • SPRINGER HEIDELBERG

start page

  • 11637

end page

  • 11649

volume

  • 28

issue

  • 9