Application of artificial neural network for the identification of fresh water bacteria

Stud Health Technol Inform. 2000:77:106-10.

Abstract

A method based on artificial neural network (ANN) for monitoring aquatic bacteria which would be useful for health care is presented. Environmental micro-organisms include a large number of taxa. Some species that normally are not pathogenic can represent a risk in certain conditions, such as old people and immuno-compromised individuals. A system based on unsupervised ANN has been set up using the fatty acid profiles of standard strains, obtained by gas-chromatography, as learning data. The Kohonen output map resulted in a powerful tool for identification of fresh isolates coming from a line of the major civil water system of Genova (Italy).

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bacteria / classification
  • Bacteria / isolation & purification
  • Bacteriological Techniques
  • Fresh Water / microbiology*
  • Humans
  • Italy
  • Neural Networks, Computer*
  • Water Microbiology*