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 Author: Meena,Ganga Sahay (author)
Other Authors: Kumar,Nitin (author), Majumdar,Gautam Chandra (author), Banerjee,Rintu (author), Meena,Pankaj Kumar (author), Yadav,Vijesh (author)
Format: article
Language:eng
Published: 2014
Subjects:
Response surface methodology (RSM)
Artificial neural network (ANN)
Genetic algorithms (GA)
Box-behnken besign (BBD)
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132014000100003
Country:Brazil
Oai:oai:scielo:S1516-89132014000100003

Internet

http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132014000100003

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