Artificial Neural Network-Genetic Algorithm Approach to Optimize Media Constituents for Enhancing Lipase Production by a Soil Microorganism
- Author
- HAIDER, M. A1 ; PAKSHIRAJAN, K1 ; SINGH, A1 ; CHAUDHRY, S1
[1] Department of Biotechnology, Indian Institute of Technology Guwahati, Guwahati 781039, India - Source
Applied biochemistry and biotechnology. 2008, Vol 144, Num 3, pp 225-235, 11 p ; ref : 15 ref
- CODEN
- ABIBDL
- ISSN
- 0273-2289
- Scientific domain
- Biochemistry, molecular biology, biophysics; Biotechnology
- Publisher
- Springer, Heidelberg
- Publication country
- Germany
- Document type
- Article
- Language
- English
- Author keyword
- Artificial neural networks Genetic algorithms Lipase production Optimization Response surface methodology Soil microorganism
- Keyword (fr)
- Algorithme génétique Microorganisme Optimisation Production Réseau neuronal Sol Surface réponse Triacylglycerol lipase Carboxylic ester hydrolases Enzyme Esterases Hydrolases
- Keyword (en)
- Genetic algorithm Microorganism Optimization Production Neural network Soils Response surface Triacylglycerol lipase Carboxylic ester hydrolases Enzyme Esterases Hydrolases
- Keyword (es)
- Algoritmo genético Microorganismo Optimización Producción Red neuronal Suelo Superficie respuesta Triacylglycerol lipase Carboxylic ester hydrolases Enzima Esterases Hydrolases
- Classification
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A31 Biotechnology
- Discipline
- Biotechnology
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 20188281
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1007/s12010-007-8017-y 
https://dx.doi.org/10.1007/s12010-007-8017-y
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