title: Application of artificial neural network for the identification of fresh water bacteria.
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).
authors.affiliation: Department of Informatics Systems and Telematics, University of Genova, Via Opera Pia 13, 16145 Genova, Italy.
authors.forename: M
authors.initials: M
authors.lastname: Giacomini
authors.forename: C
authors.initials: C
authors.lastname: Ruggiero
authors.forename: F
authors.initials: F
authors.lastname: Caneva
authors.forename: S
authors.initials: S
authors.lastname: Bertone
mesh_terms: D001419:Bacteria / Q000145:classification / Q000302:isolation & purification; D001431:Bacteriological Techniques; D005618:Fresh Water / Q000382:microbiology*; D006801:Humans; D007558:Italy; D016571:Neural Networks, Computer; D014871:Water Microbiology