Application of probabilistic neural network in bacterial identification by biochemical profiles

Journal of Microbiological Methods

Volumn 94, Issue 2, 2013, Pages 86-87

  Jia, Juntao ^a   Liang, Chengzhu ^a   Cao, Jijuan ^b   Li, Zhengyi ^a  

^a Shandong Entry Exit Inspection and Quarantine Bureau   (China)

^b Liaoning Entry Exit Inspection and Quarantine Bureau   (China)

Author keywords

API 20E; Bacterial identification; Probabilistic neural network

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BACTERIUM IDENTIFICATION; BAYES THEOREM; BIOCHEMISTRY; COMPUTER PROGRAM; MATHEMATICAL ANALYSIS; NONHUMAN; PRIORITY JOURNAL; PROBABILISTIC NEURAL NETWORK; PROBABILITY; TAXONOMY;

API 20E; BACTERIAL IDENTIFICATION; PROBABILISTIC NEURAL NETWORK;

ALGORITHMS; BACTERIA; BIOCHEMICAL PHENOMENA; COMPUTATIONAL BIOLOGY; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER);

BACTERIA (MICROORGANISMS);

EID: 84878885214     PISSN: 01677012     EISSN: 18728359     Source Type: Journal    
DOI: 10.1016/j.mimet.2013.05.004     Document Type: Article

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