Literature DB >> 23680232

Application of probabilistic neural network in bacterial identification by biochemical profiles.

Juntao Jia1, Chengzhu Liang2, Jijuan Cao3, Zhengyi Li2.   

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.
Copyright © 2013 Elsevier B.V. All rights reserved.

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

Mesh:

Year:  2013        PMID: 23680232     DOI: 10.1016/j.mimet.2013.05.004

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  2 in total

1.  Interval probabilistic neural network.

Authors:  Piotr A Kowalski; Piotr Kulczycki
Journal:  Neural Comput Appl       Date:  2015-11-21       Impact factor: 5.606

2.  Development of Energy Efficient Clustering Protocol in Wireless Sensor Network Using Neuro-Fuzzy Approach.

Authors:  E Golden Julie; S Tamil Selvi
Journal:  ScientificWorldJournal       Date:  2016-01-03
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.