• DocumentCode
    1676179
  • Title

    Air quality prediction using a neuro-fuzzy system

  • Author

    Negnevitsky, M. ; Kelareva, G.

  • Author_Institution
    Sch. of Eng., Tasmania Univ., Hobart, Tas., Australia
  • Volume
    1
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    481
  • Lastpage
    484
  • Abstract
    Neuro-fuzzy systems combine advantages of both neural networks and fuzzy systems. They use fuzzy rules to incorporate knowledge of a human expert and, at the same time, are capable of learning from data. This paper demonstrates an application of a neuro-fuzzy system for predicting air quality in a region
  • Keywords
    air pollution control; fuzzy neural nets; air quality prediction; fuzzy rules; fuzzy systems; neural networks; neurofuzzy system; Air pollution; Airports; Cities and towns; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Humans; Meteorology; Neural networks; Neurons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2001. The 10th IEEE International Conference on
  • Conference_Location
    Melbourne, Vic.
  • Print_ISBN
    0-7803-7293-X
  • Type

    conf

  • DOI
    10.1109/FUZZ.2001.1007353
  • Filename
    1007353
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1676179