Guimaraes, O.L.C. and Silva, M.B. (2007) Hybrid Neural Model for Decoloration by UV/H2O2 Involving Process Variables and Structural Parameters Characteristics to Azo Dyes. Chemical Engineering and Processing, 46, 45-51.
http://dx.doi.org/10.1016/j.cep.2006.04.005

has been cited by the following article:

• TITLE: An Application of the Taguchi Method (Robust Design) to Environmental Engineering: Evaluating Advanced Oxidative Processes in Polyester-Resin Wastewater Treatment

  AUTHORS: Messias Borges Silva, Livia Melo Carneiro, João Paulo Alves Silva, Ivy dos Santos Oliveira, Hélcio José Izário Filho, Carlos Roberto de Oliveira Almeida

  KEYWORDS: Taguchi Method, Statistical Optimization, Advanced Oxidative Processes, Wastewater

  JOURNAL NAME: American Journal of Analytical Chemistry, Vol.5 No.13, September 19, 2014

  ABSTRACT: This paper presents the Taguchi Method, a statistical design modelling for experiments applied in environmental engineering. This method was applied to optimize the treatment conditions of polyester-resin effluent by means of Advanced Oxidative Processes (AOPs) using chemical oxygen demand (COD) as response parameter. The influence of each independent parameter including respective interactions was evaluated by Taguchi Method, which allowed determining the most statistically significant variables and conditions to best fit the process. Results showed that Taguchi Method is a very useful tool for environmental engineering field and possible simplifications of analysis and calculations through commercially available software.