A novel approach for optimization of correlated multiple responses based on desirability function and fuzzy logics

Neurocomputing

Volumn 91, Issue , 2012, Pages 56-66

  Salmasnia, Ali ^a   Baradaran kazemzadeh, Reza ^a   Mohajer Tabrizi, Mohammad ^b  

^a TARBIAT MODARES UNIVERSITY   (Iran)

^b AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Adaptive neuro fuzzy inference system; Desirability function; Genetic algorithm; Multiple response optimization; Principal component analysis

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; DESIGN VARIABLES; DESIRABILITY FUNCTION; FEASIBLE REGIONS; HIGHLY NONLINEAR; MULTIPLE RESPONSE; MULTIPLE RESPONSE OPTIMIZATION; NEURO-FUZZY; NUMERICAL EXAMPLE; REAL-WORLD APPLICATION; SURFACE FITTING;

DESIGN; FUZZY LOGIC; GENETIC ALGORITHMS; PRINCIPAL COMPONENT ANALYSIS;

OPTIMIZATION;

ANALYTICAL PARAMETERS; ARTICLE; ARTIFICIAL NEURAL NETWORK; CORRELATION ANALYSIS; FUZZY LOGIC; INFORMATION PROCESSING; MULTIPLE RESPONSE OPTIMIZATION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PROCESS OPTIMIZATION; QUANTITATIVE STUDY; STATISTICAL ANALYSIS;

EID: 84861197550     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2012.03.001     Document Type: Article

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