Bacteria identification using artificial neural network

A case study of Peptococcaceae family identification

Normadyzah Ahmad, Siti Rozaimah Sheikh Abdullah, Nurina Anuar, Hazlina Husin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Conventionally, bacteria identification is made through Bergey's manual but this process is time consuming, requires full concentration and understandings and has the possibility for misidentifying of an unknown bacteria. In this study, artificial neural network was evaluated as a tool for identifying unknown bacteria. The study is conducted by collecting the data of microorganism properties from Bergey's manual and then train the data by using neural network system in MATLAB programme. The study focused on facultative anaerobic bacterial species from Gram-Positive Cocci group under Family Peptococcaceae.. It is proposed that improved predictions can be obtained using a three-layer neural network instead of manually identifying the species using conventional and complicated method which is time-consuming and lengthy. The network training session was conducted by batch training using feed-forward back propagation algorithm. As a result, a neural network was successfully developed to accurately identify any bacterial species from Peptococcaceae family in a very short time.

Original languageEnglish
Title of host publication2008 International Conference on Electronic Design, ICED 2008
DOIs
Publication statusPublished - 2008
Event2008 International Conference on Electronic Design, ICED 2008 - Penang
Duration: 1 Dec 20083 Dec 2008

Other

Other2008 International Conference on Electronic Design, ICED 2008
CityPenang
Period1/12/083/12/08

Fingerprint

Bacteria
Neural networks
Backpropagation algorithms
Microorganisms
MATLAB

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Bacteria identification using artificial neural network : A case study of Peptococcaceae family identification. / Ahmad, Normadyzah; Sheikh Abdullah, Siti Rozaimah; Anuar, Nurina; Husin, Hazlina.

2008 International Conference on Electronic Design, ICED 2008. 2008. 4786682.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ahmad, N, Sheikh Abdullah, SR, Anuar, N & Husin, H 2008, Bacteria identification using artificial neural network: A case study of Peptococcaceae family identification. in 2008 International Conference on Electronic Design, ICED 2008., 4786682, 2008 International Conference on Electronic Design, ICED 2008, Penang, 1/12/08. https://doi.org/10.1109/ICED.2008.4786682
Ahmad, Normadyzah ; Sheikh Abdullah, Siti Rozaimah ; Anuar, Nurina ; Husin, Hazlina. / Bacteria identification using artificial neural network : A case study of Peptococcaceae family identification. 2008 International Conference on Electronic Design, ICED 2008. 2008.
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