An enhancement of constraint feasibility in BPN based approximate optimization

Computer Methods in Applied Mechanics and Engineering

Volumn 196, Issue 17-20, 2007, Pages 2147-2160

  Lee, Jongsoo ^a   Jeong, Heeseok ^a   Choi, Dong Hoon ^b   Volovoi, Vitali ^c   Mavris, Dimitri ^c  

^a Yonsei University   (South Korea)

^b Hanyang University   (South Korea)

^c Georgia Institute of Technology   (United States)

Author keywords

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

Indexed keywords

APPROXIMATION THEORY; BACKPROPAGATION; BOUNDARY CONDITIONS; CONSTRAINT THEORY; GENETIC ALGORITHMS; MATHEMATICAL MODELS; OPTIMIZATION;

BACK-PROPAGATION NEURAL NETWORKS; CONSTRAINED APPROXIMATE OPTIMIZATION; INEQUALITY CONSTRAINTS;

NEURAL NETWORKS;

APPROXIMATION THEORY; BACKPROPAGATION; BOUNDARY CONDITIONS; CONSTRAINT THEORY; GENETIC ALGORITHMS; MATHEMATICAL MODELS; NEURAL NETWORKS; OPTIMIZATION;

EID: 33846901619     PISSN: 00457825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cma.2006.11.005     Document Type: Article

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