RBFNN-based hole identification system in conducting plates

IEEE Transactions on Neural Networks

Volumn 12, Issue 6, 2001, Pages 1445-1454

  Simone, Giovanni ^a,b   Morabito, Francesco Carlo ^a,b  

^a IEEE   (Italy)

^b UNIVERSITY MEDITERRANEA OF REGGIO CALABRIA   (Italy)

Author keywords

Eddy current inspection; Nondestructive testing and evaluation; Radial basis function neural networks (RBFNNs)

Indexed keywords

CONDUCTING PLATES; HOLE IDENTIFICATION SYSTEM; MAGNETIC SENSORS;

ALGORITHMS; BOUNDARY VALUE PROBLEMS; COMPUTER SIMULATION; DATABASE SYSTEMS; EDDY CURRENT TESTING; GLOBAL POSITIONING SYSTEM; INSPECTION; INVERSE PROBLEMS; LEAST SQUARES APPROXIMATIONS; MULTILAYER NEURAL NETWORKS; RADIO RECEIVERS;

RADIAL BASIS FUNCTION NETWORKS;

EID: 0035507006     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.963779     Document Type: Article

References (22)

1. Finite element scheme for transient 3-D eddy currents
2. Use of two component vector potential for 3D eddy current calculation
3. Formulation of the eddy-current problem
4. 3D eddy current calculations using the magnetic vector potential
5. Radial basis functions for multivariate interpolation: A review
6. Multivariable functional interpolation and adaptive networks
7. Radial basis function approximations to polynomials
8. Performance evaluation of a sequential minimal RBF neural-network learning algorithm
9. An efficient learning algorithm for improving the generalization of RBF networks
10. Global positioning system: Theory and applications
11. A task decomposition neural-network approach to nondestructive testing problems
12. ICANN based data fusion approach in ECT signal restoration
13. Independent component analysis and neural approaches to the extraction of features from NDT/NDE
14. Wavelet tools for improving the accuracy of neural-network solution of electromagnetic inverse problems
15. Independent component analysis and feature extraction for NDT/NDE data
16. An intelligent network for defect profile reconstruction in Eddy current applications
17. A neural network approach for the solution of electric and magnetic inverse problems
18. Plural defect separation by using wavelet Hough transform
19. Eddy current measurement enhancement by an information maximization approach
20. Identification of circular holes in thin plates using a neural network approach