Finite-element neural network-based solving 3-D differential equations in mfl

IEEE Transactions on Magnetics

Volumn 48, Issue 12, 2012, Pages 4747-4756

  Xu, Chao ^a   Wang, Changlong ^a   Ji, Fengzhu ^a   Yuan, Xichao ^a  

^a MECHANICAL ENGINEERING COLLEGE   (China)

Author keywords

Conjugate gradient (CG) algorithm; finite element method (FEM); finite element neural network (FENN); forward model; inverse problem; magnetic flux leakage (MFL) testing

Indexed keywords

3-D MAGNETIC FIELD ANALYSIS; COMPUTATIONAL COSTS; CONJUGATE GRADIENT; CONJUGATE GRADIENT ALGORITHMS; FINITE ELEMENT METHOD FEM; FINITE-ELEMENT; FORWARD MODELS; GRADIENT DESCENT; ITERATIVE APPROACH; MAGNETIC FLUX LEAKAGE; MAGNETIC-FIELD INTENSITY; NETWORK-BASED; NEURAL NETWORK STRUCTURES; RADIAL WAVELETS; VECTOR PLOT; VERTICAL COMPONENT;

CONJUGATE GRADIENT METHOD; DIFFERENTIAL EQUATIONS; INVERSE PROBLEMS; ITERATIVE METHODS; LEARNING ALGORITHMS; MAGNETIC LEAKAGE; NEURAL NETWORKS;

FINITE ELEMENT METHOD;

EID: 84870473995     PISSN: 00189464     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMAG.2012.2207732     Document Type: Article

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