Please use this identifier to cite or link to this item:
Type: Artigo de periódico
Title: A bootstrapped neural network model applied to prediction of the biodegradation rate of reactive Black 5 dye
Author: Prado, KRM
Rosa, JM
Santana, JCC
Tambourgi, E
Alves, WAL
Pereira, FH
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.
Subject: resampling
pattern recognition
textile dyes
treatment of effluents
Country: Brasil
Editor: Univ Estadual Maringa, Pro-reitoria Pesquisa Pos-graduacao
Rights: aberto
Identifier DOI: 10.4025/actascitechnol.v35i3.16210
Date Issue: 2013
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.