• DocumentCode
    1169276
  • Title

    Some investigations on neural processing of scattered light in water quality assessment

  • Author

    Smith, P.R. ; Green, D.A. ; Naimimohasses, R.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Loughborough Univ. of Technol., UK
  • Volume
    141
  • Issue
    4
  • fYear
    1994
  • fDate
    8/1/1994 12:00:00 AM
  • Firstpage
    261
  • Lastpage
    266
  • Abstract
    Applications of artificial neural networks to in situ assessment of water quality are considered by means of an online optical scatter nephelometer. Light scattered by suspensions of oil in water is investigated for three different oils in the concentration range 0-100 parts per million by volume. An artificial neural network is designed to recognise the oil species and output its concentration to within an accuracy of 5.4%. Applications of the technique to more general classes of suspensions are discussed
  • Keywords
    light scattering; neural nets; optical information processing; optical sensors; turbidimetry; water pollution detection and control; artificial neural networks; neural processing; oil concentration; oil recognition; oil suspensions; online optical scatter nephelometer; scattered light; water quality assessment;
  • fLanguage
    English
  • Journal_Title
    Vision, Image and Signal Processing, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-245X
  • Type

    jour

  • DOI
    10.1049/ip-vis:19941300
  • Filename
    318029