Improvement of the /Taguchi/ design optimization using artificial intelligence in three acid azo dyes removal by electrocoagulation

Environmental Progress and Sustainable Energy

Volumn 34, Issue 6, 2015, Pages 1568-1575

  Taheri, Mahsa ^a   Moghaddam, Mohammad Reza Alavi ^a   Arami, Mokhtar ^a  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

acid azo dyes; artificial neural network; electrocoagulation; genetic algorithm; Taguchi design

Indexed keywords

AZO DYES; CITRUS FRUITS; COAGULATION; EFFICIENCY; GENETIC ALGORITHMS; NEURAL NETWORKS; OPERATING COSTS; PREDICTIVE ANALYTICS;

ACID ORANGE 7; ANN MODELING; DESIGN OPTIMIZATION; ELECTRO COAGULATIONS; FIVE PARAMETERS; INITIAL DYE CONCENTRATION; TAGUCHI DESIGN; TAGUCHI'S ORTHOGONAL ARRAYS;

STRIPPING (DYES);

EID: 84948716151     PISSN: 19447442     EISSN: 19447450     Source Type: Journal    
DOI: 10.1002/ep.12145     Document Type: Article

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