An integrated approach to optimise parameter design of multi-response processes based on Taguchi method and artificial intelligence

Journal of Intelligent Manufacturing

Volumn 23, Issue 5, 2012, Pages 1511-1528

  Sibalija, Tatjana V ^a   Majstorovic, Vidosav D ^a  

^a UNIVERSITY OF BELGRADE   (Serbia)

Author keywords

Back propagation neural network; Experimental design; Expert system; Genetic algorithm; Multi response process; Taguchi method

Indexed keywords

ACTUAL EXPERIMENTS; BACK PROPAGATION NEURAL NETWORKS; CONTINUOUS VALUE; CONTROL FACTORS; INTEGRATED APPROACH; INTEGRATED MODELS; MANUFACTURING PROCESS; MULTI-RESPONSE PROBLEM; MULTIRESPONSE; MULTIVARIATE STATISTICAL METHOD; OPTIMAL PARAMETER; ORTHOGONAL ARRAY; PARAMETER DESIGNS; PERFORMANCE MEASURE; PROCESS PARAMETERS; PROCESS PERFORMANCE; RESPONSE FUNCTIONS; ROBUST PARAMETER DESIGN; TAGUCHI; TAGUCHI'S QUALITY LOSS FUNCTIONS;

DESIGN OF EXPERIMENTS; EXPERT SYSTEMS; GENETIC ALGORITHMS; NEURAL NETWORKS; ORTHOGONAL FUNCTIONS; STATISTICS; TAGUCHI METHODS;

DESIGN;

EID: 84870876464     PISSN: 09565515     EISSN: 15728145     Source Type: Journal    
DOI: 10.1007/s10845-010-0451-y     Document Type: Article

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