Artificial Neural Network-Genetic Algorithm Approach to Optimize Media Constituents for Enhancing Lipase Production by a Soil Microorganism |
| |
Authors: | M A Haider K Pakshirajan A Singh S Chaudhry |
| |
Institution: | (1) Department of Biotechnology, Indian Institute of Technology Guwahati, Guwahati, 781039, India |
| |
Abstract: | Results of lipase production by a soil microorganism, expressed in terms of lipolytic activities of the culture were modeled
and optimized using artificial neural network (ANN) and genetic algorithm (GA) techniques, respectively. ANN model, developed
based on back propagation algorithm, were highly accurate in predicting the system with coefficient of determination (R
2) value being close to 0.99. Optimization using GA, based on the ANN model developed, resulted in the following values of
the media constituents: 9.991 ml/l oil, 0.100 g/l MgSO4 and 0.009 g/l FeSO4. And a maximum value of 7.69 U/ml of lipolytic activity at 72 h of culture was obtained using the ANN-GA method, which was
found to be 8.8% higher than the maximum values predicted by a statistical regression-based optimization technique-response
surface methodology. |
| |
Keywords: | Artificial neural networks Genetic algorithms Response surface methodology Optimization Lipase production Soil microorganism |
本文献已被 PubMed SpringerLink 等数据库收录! |
|