Growth rate data fitting of Yarrowia lipolytica NCIM 3589 using logistic equation and artificial neural networks

Imandi, Sarat Babu and Karanam, Sita Kumari and Darsipudi, Surekha and Garapati, Hanumantha Rao (2010) Growth rate data fitting of Yarrowia lipolytica NCIM 3589 using logistic equation and artificial neural networks. Advances in Bioscience and Biotechnology, 01 (01). pp. 47-50. ISSN 2156-8456

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Official URL: https://doi.org/10.4236/abb.2010.11007

Abstract

Growth rate of Yarrowia lipolytica NCIM 3589 was observed in a fermentation medium consisting of peptone, yeast extract, sodium chloride. Logistic equation was fitted to the growth data (time vs. biomass concentration) and compared with the prediction given by Artificial Neural Networks (ANN). ANN was found to be superior in describing growth characteristics. A single MATLAB programme is developed to fit the growth data by logistic equation and ANN.

Item Type:	Article
Subjects:	Article Paper Librarian > Biological Science
Depositing User:	Unnamed user with email support@article.paperlibrarian.com
Date Deposited:	01 Apr 2023 09:23
Last Modified:	04 May 2024 04:42
URI:	http://editor.journal7sub.com/id/eprint/535

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