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
fDate :
8/1/1994 12:00:00 AM
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;
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
DOI :
10.1049/ip-vis:19941300
