Raja, Selvaraj and Thivaharan, Varadavenkatesan and Ramesh, Vinayagam and Ramachandra Murty, V (2014) Prediction of Viscosities of Aqueous Two Phase Systems Containing Protein by Artificial Neural Network. Journal of Chemical Engineering and Technology, 5 (3). pp. 3-5. ISSN 2157-7048
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Abstract
The viscosities of aqueous two phase system containing bovine serum albumin (BSA) were predicted by artificial neural network (ANN) as a function of concentration of poly-ethylene-glycol (PEG), concentration of BSA and temperature. A three layer feed forward neural network based on Levenberg-Marquardt (LM) algorithm which consisted of three input neurons, 10 hidden neurons and one output neuron (3:10:1) was developed. The performance parameters were calculated and compared with the conventional Grunberg-Nissan empirical model. The satisfactory values suggest that the proposed ANN model has the capability of predicting viscosity in a better way than the conventional empirical model.
Item Type: | Article |
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Uncontrolled Keywords: | Aqueous two phase system; Artificial neural network; Levenberg-Marquardt (LM) algorithm; Grunberg-Nissan empirical mode |
Subjects: | Engineering > MIT Manipal > Biotechnology |
Depositing User: | MIT Library |
Date Deposited: | 20 May 2015 07:18 |
Last Modified: | 20 May 2015 07:18 |
URI: | http://eprints.manipal.edu/id/eprint/142696 |
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