Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/88403
Type: Artigo de periódico
Title: A Bootstrapped Neural Network Model Applied To Prediction Of The Biodegradation Rate Of Reactive Black 5 Dye [um Modelo De Rede Neural Bootstrap Aplicado Na Predição Da Taxa De Biodegradação Do Corante Reactive Black 5]
Author: Prado K.R.M.
Rosa J.M.
Santana J.C.C.
Tambourgi E.
Alves W.A.L.
Pereira F.H.
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.
Editor: 
Rights: aberto
Identifier DOI: 10.4025/actascitechnol.v35i3.16210
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-84879307303&partnerID=40&md5=3332866a8fd9483c038d61650900cd0b
Date Issue: 2013
Appears in Collections:Unicamp - Artigos e Outros Documentos

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