A comparison of various artificial intelligence approaches performance for estimating suspended sediment load of river systems: a case study in United States Article

Olyaie, Ehsan, Banejad, Hossein, Chau, Kwok-Wing et al. (2015). A comparison of various artificial intelligence approaches performance for estimating suspended sediment load of river systems: a case study in United States . ENVIRONMENTAL MONITORING AND ASSESSMENT, 187(4), 10.1007/s10661-015-4381-1

International Collaboration

keywords

  • ADAPTIVE NEURO-FUZZY
  • ANFIS
  • ANN
  • Environmental Sciences
  • Environmental Sciences & Ecology
  • Estimating
  • FLUVIAL SEDIMENT
  • INFERENCE SYSTEMS
  • Life Sciences & Biomedicine
  • MODEL
  • NETWORK PERFORMANCE
  • PART II
  • PREDICTION
  • SRC
  • Science & Technology
  • Soft computing
  • Suspended sediment load
  • WANN
  • WAVELET

Digital Object Identifier (DOI)

publisher

  • SPRINGER

volume

  • 187

issue

  • 4