<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
To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.