title: Application of probabilistic neural network in bacterial identification by biochemical profiles.
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.
authors.affiliation: Testing Center, Shandong Entry-Exit Inspection and Quarantine Bureau, Qingdao 266002, China. Electronic address: jiajuntao@hotmail.com.
authors.forename: Juntao
authors.initials: J
authors.lastname: Jia
authors.affiliation: Testing Center, Shandong Entry-Exit Inspection and Quarantine Bureau, Qingdao 266002, China.
authors.forename: Chengzhu
authors.initials: C
authors.lastname: Liang
authors.affiliation: Testing Center, Liaoning Entry-Exit Inspection and Quarantine Bureau, Dalian 116001, China.
authors.forename: Jijuan
authors.initials: J
authors.lastname: Cao
authors.affiliation: Testing Center, Shandong Entry-Exit Inspection and Quarantine Bureau, Qingdao 266002, China.
authors.forename: Zhengyi
authors.initials: Z
authors.lastname: Li
mesh_terms: D000465:Algorithms; D001419:Bacteria / Q000737:chemistry* / Q000145:classification / Q000302:isolation & purification*; D001669:Biochemical Phenomena; D019295:Computational Biology / Q000379:methods*; D008962:Models, Theoretical; D016571:Neural Networks, Computer
keywords: API 20E; Bacterial identification; Probabilistic neural network