Title : ( Using artificial neural networks and levenberg-Marquardt algorithm for prediction of staphylococcus aureus growth )
Authors: محمد شاخسر , پژمان شهبازی خواه , رامین خاکسار , Abdollah Jamshidi , Hamid Reza Kazerani , Elhom Alsadat Moghaddas ,
Full TextAbstract
Staphylococcus aureus is one the most common causes of gastroenteritis worldwide. Knowing the precise boundary for the growth no-growth interface of S.aureus together with determining the period of time needed for bacterial growth initiation is necessary for food safety risk assessment purpose. Application of microbe growth models to predict the growth behavior of specific microorganism has been widely studied in recent years. The main objective of the present work was to develop an ANN model predicting time to detection (TTD) of Staphylococcus aureus accurately.
Keywords
, staphylococcus aureus, modeling, artificial neural network, back propagation, levenberg-Marquardt
@inproceedings{paperid:1014125,
author = {محمد شاخسر and پژمان شهبازی خواه and رامین خاکسار and Jamshidi, Abdollah and Kazerani, Hamid Reza and Moghaddas, Elhom Alsadat},
title = {Using artificial neural networks and levenberg-Marquardt algorithm for prediction of staphylococcus aureus growth},
booktitle = {1st international congress of food hygiene},
year = {2009},
location = {تهران, IRAN},
keywords = {staphylococcus aureus; modeling; artificial neural network; back propagation; levenberg-Marquardt},
}
%0 Conference Proceedings
%T Using artificial neural networks and levenberg-Marquardt algorithm for prediction of staphylococcus aureus growth
%A محمد شاخسر
%A پژمان شهبازی خواه
%A رامین خاکسار
%A Jamshidi, Abdollah
%A Kazerani, Hamid Reza
%A Moghaddas, Elhom Alsadat
%J 1st international congress of food hygiene
%D 2009
