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<b>A bootstrapped neural network model applied to prediction of the biodegradation rate of reactive Black 5 dye</b> - doi: 10.4025/actascitechnol.v35i3.16210

By Kleber Rogério Moreira Prado, Jorge Marcos Rosa, José Carlos Curvelo Santana, Elias Tambourgi, Wonder Alexandre Luz Alves and Fabio Henrique Pereira

Abstract

<p class="aresumo">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. <em>Pseudomonas oleovorans</em> 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<sup>-1</sup> of microorganism concentration and between 1.000 and 2.000 g 100 mL<sup>-1</sup> of glucose concentration within the experimental conditions under analysis.</p> <p class="apalavrachave"> </p><p class="abstract"> </p

Topics: resampling, pattern recognition, textile dyes, treatment of effluents, simulation, Technology, T, Technology (General), T1-995, Engineering (General). Civil engineering (General), TA1-2040, Science (General), Q1-390
Publisher: Editora da Universidade Estadual de Maringá
Year: 2013
DOI identifier: 10.4025/actascitechnol.v35i3.16210
OAI identifier: oai:doaj.org/article:134632d2725e4bd09c42e06118e81e97
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