2012
DOI: 10.1016/j.jbiotec.2012.08.003
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The use of a radial basis neural network and genetic algorithm for improving the efficiency of laccase-mediated dye decolourization

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Cited by 19 publications
(14 citation statements)
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“…It is likely that yields can be further increased by optimizing laccase and mediator concentrations, e.g. with a neural network approach [32]. Fed-batch type biotransformations with continuous addition of phenolic educts, iodide and laccase may also facilitate even higher volumetric yields.…”
Section: Discussionmentioning
confidence: 99%
“…It is likely that yields can be further increased by optimizing laccase and mediator concentrations, e.g. with a neural network approach [32]. Fed-batch type biotransformations with continuous addition of phenolic educts, iodide and laccase may also facilitate even higher volumetric yields.…”
Section: Discussionmentioning
confidence: 99%
“…Hybrid models employ a combination of ANNs and GAs (Franco-Lara et al, 2006;Yuan et al, 2014). A hybrid ANN model optimized by GA (Gupta et al, 2012) was constructed and applied in some areas of wastewater treatment (Badrnezhad and Mirza, 2013;Schubert et al, 2012;SUDARSANA RAO and SUBBA REDDY, 2012). GA was used to optimize the weights M a n u s c r i p t 10 and thresholds of ANN for minimizing the error between the actual and target outputs.…”
Section: Page 6 Of 47mentioning
confidence: 99%
“…The calculated models can only be used within the chosen range of experimental conditions, but not for extrapolation which is a drawback for both methodologies. Nevertheless, the results of this study demonstrate that modeling approaches, particularly the ANN neural network, combined with genetic algorithm, represent a significant advance for the analysis and optimization of biocatalytical processes (Schubert et al, 2012b;Witek-Krowiak et al, 2014).…”
Section: Resultsmentioning
confidence: 92%