Growth characteristics modeling of Lactobacillus acidophilus using RSM and ANN

Growth characteristics modeling of Lactobacillus acidophilus using RSM and ANN

The culture conditions viz. additional carbon and nitrogen content, inoculum size, age, temperature and pH of Lactobacillus acidophilus were optimized using response surface methodology (RSM) and artificial neural network (ANN). Kinetic growth models were fitted to cultivations from a Box-Behnken De...

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Bibliographic Details
Main Authors: Ganga Sahay Meena, Nitin Kumar, Gautam Chandra Majumdar, Rintu Banerjee, Pankaj Kumar Meena, Vijesh Yadav
Format: Article
Language:English
Published: Instituto de Tecnologia do Paraná (Tecpar) 2014-02-01
Series:Brazilian Archives of Biology and Technology
Subjects:
Response surface methodology (RSM)
Artificial neural network (ANN)
Genetic algorithms (GA)
Box-behnken besign (BBD)
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132014000100003&lng=en&tlng=en

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132014000100003&lng=en&tlng=en

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