A neural networks inversion-based algorithm for multiobjective design of a high-field superconducting dipole magnet

IEEE Transactions on Magnetics

Volumn 43, Issue 4, 2007, Pages 1557-1560

  Cau, F ^a   Di Mauro, M ^a   Fanni, Alessandra ^a   Montisci, A ^a   Testoni, P ^a  

^a UNIVERSITY OF CAGLIARI   (Italy)

Author keywords

Inversion algorithms; Multiobjective design; Neural networks (NNs); Pareto front; Superconducting dipole

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; MAGNETIC FIELD EFFECTS; NEURAL NETWORKS; PARAMETER ESTIMATION; PARETO PRINCIPLE; PROBLEM SOLVING;

DESIGN PARAMETERS; INVERSION ALGORITHMS; MULTIOBJECTIVE DESIGN; SUPERCONDUCTING DIPOLE MAGNET;

SUPERCONDUCTING MAGNETS;

EID: 33947663575     PISSN: 00189464     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMAG.2006.892096     Document Type: Article

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