Application of probabilistic neural network in bacterial identification by biochemical profiles

Juntao Jia; Chengzhu Liang; Jijuan Cao; Zhengyi Li

doi:10.1016/j.mimet.2013.05.004

Application of probabilistic neural network in bacterial identification by biochemical profiles

J Microbiol Methods. 2013 Aug;94(2):86-87. doi: 10.1016/j.mimet.2013.05.004. Epub 2013 May 14.

Authors

Juntao Jia¹, Chengzhu Liang², Jijuan Cao³, Zhengyi Li²

Affiliations

¹ Testing Center, Shandong Entry-Exit Inspection and Quarantine Bureau, Qingdao 266002, China. Electronic address: jiajuntao@hotmail.com.
² Testing Center, Shandong Entry-Exit Inspection and Quarantine Bureau, Qingdao 266002, China.
³ Testing Center, Liaoning Entry-Exit Inspection and Quarantine Bureau, Dalian 116001, China.

PMID: 23680232
DOI: 10.1016/j.mimet.2013.05.004

Abstract

An algorithm of Probabilistic Neural Network (PNN) for bacterial identification based on the probability matrix of API 20E system as a case study is reported. The PNN shows the correct identification of all the taxa belonging to the training and test sets and possesses merits over the conventional methods.

Keywords: API 20E; Bacterial identification; Probabilistic neural network.

Publication types

Evaluation Study
Research Support, Non-U.S. Gov't

MeSH terms

Algorithms
Bacteria / chemistry*
Bacteria / classification
Bacteria / isolation & purification*
Biochemical Phenomena
Computational Biology / methods*
Models, Theoretical
Neural Networks, Computer*