<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

Authors

  • Kleber Rogério Moreira Prado Universidade Nove de Julho
  • Jorge Marcos Rosa Faculdade de Tecnologia SENAI Antoine Skaf
  • José Carlos Curvelo Santana Universidade Nove de Julho
  • Elias Tambourgi Universidade Estadual de Campinas
  • Wonder Alexandre Luz Alves Universidade Nove de Julho
  • Fabio Henrique Pereira Universidade Nove de Julho

DOI:

https://doi.org/10.4025/actascitechnol.v35i3.16210

Keywords:

resampling, pattern recognition, textile dyes, treatment of effluents, simulation

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.

 

 

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Author Biographies

Kleber Rogério Moreira Prado, Universidade Nove de Julho

Master student at Industrial Engineering Post Graduation Program, Nove de Julho University, UNINOVE.

Fabio Henrique Pereira, Universidade Nove de Julho

Fabio Henrique Pereira has obtained the MSc degree in Applied Mathematics from Universidade Estatual Paulista (UNESP), Brazil, in 2003. In 2007 he obtained the PhD degree in Electrical Engineering from Escola Politécnica da Universidade de São Paulo (EPUSP). He is currently an Associate Professor at Industrial Engineering Post Graduation Program of Nove de Julho University and his current research interests include modeling and simulation, parallel computing, optimization methods and statistical techniques.

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Published

2013-02-27

How to Cite

Prado, K. R. M., Rosa, J. M., Santana, J. C. C., Tambourgi, E., Alves, W. A. L., & Pereira, F. H. (2013). <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. Acta Scientiarum. Technology, 35(3), 565–572. https://doi.org/10.4025/actascitechnol.v35i3.16210

Issue

Vol. 35 No. 3 (2013)

Section

Chemistry

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