Derivative and GA-based methods in metamodeling of back-propagation neural networks for constrained approximate optimization

Structural and Multidisciplinary Optimization

Volumn 35, Issue 1, 2008, Pages 29-40

  Lee, Jongsoo ^a   Jeong, Heeseok ^a   Kang, Seongkyu ^a  

^a Yonsei University   (South Korea)

Author keywords

Back propagation neural network; Constrained approximate optimization; Genetic algorithm; Inequality constraints

Indexed keywords

APPROXIMATION ALGORITHMS; BACKPROPAGATION; CONSTRAINED OPTIMIZATION; GENETIC ALGORITHMS; GLOBAL OPTIMIZATION;

BACKPROPAGATION NEURAL NETWORKS; GLOBAL APPROXIMATION TOOLS; INEQUALITY CONSTRAINT FUNCTIONS; INEQUALITY CONSTRAINTS; METAMODELING;

NEURAL NETWORKS;

EID: 36448937450     PISSN: 1615147X     EISSN: 16151488     Source Type: Journal    
DOI: 10.1007/s00158-007-0110-x     Document Type: Article

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