Artificial neural network based identification of environmental bacteria by gas-chromatographic and electrophoretic data

Journal of Microbiological Methods

Volumn 43, Issue 1, 2000, Pages 45-54

  Giacomini, M ^a   Ruggiero, C ^a   Calegari, L ^b   Bertone, S ^c  

^a UNIVERSITY OF GENOA   (Italy)

^b UNIVERSITY OF GENOA   (Italy)

^c RILAB Srl   (Italy)

Author keywords

Environmental bacteria identification; FAME; Supervised ANN; Unsupervised ANN; Whole cell protein

Indexed keywords

CELL PROTEIN;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BACTERIUM IDENTIFICATION; CHEMOTAXONOMY; DATA BASE; ELECTROPHORESIS; GAS CHROMATOGRAPHY; NONHUMAN; PRIORITY JOURNAL; PROTEIN ANALYSIS; STRAIN DIFFERENCE;

BACTERIA; CHROMATOGRAPHY, GAS; ELECTROPHORESIS; ENVIRONMENTAL MICROBIOLOGY; NEURAL NETWORKS (COMPUTER);

BACTERIA (MICROORGANISMS); HALOMONAS; MARINOMONAS; MARINOSPIRILLUM; OCEANOSPIRILLUM; PSEUDOALTEROMONAS;

EID: 0034565197     PISSN: 01677012     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-7012(00)00203-7     Document Type: Article

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