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|Type:||Artigo de periódico|
|Title:||A bootstrapped neural network model applied to prediction of the biodegradation rate of reactive Black 5 dye|
|Abstract:||Current essay forwards a biodegradation model of a dye, used in the textile industry, based on a neural network propped by bootstrap remodeling. Bootstrapped neural network is set to generate estimates that are close to results obtained in an intrinsic experience in which a chemical process is applied. Pseudomonas oleovorans was used in the biodegradation of reactive Black 5. Results show a brief comparison between the information estimated by the proposed approach and the experimental data, with a coefficient of correlation between real and predicted values for a more than 0.99 biodegradation rate. Dye concentration and the solution's pH failed to interfere in biodegradation index rates. A value above 90% of dye biodegradation was achieved between 1.000 and 1.841 mL 10 mL(-1) of microorganism concentration and between 1.000 and 2.000 g 100 mL(-1) of glucose concentration within the experimental conditions under analysis.|
treatment of effluents
|Editor:||Univ Estadual Maringa, Pro-reitoria Pesquisa Pos-graduacao|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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