Fc. Morabito et al., WAVELET TOOLS FOR IMPROVING THE ACCURACY OF NEURAL-NETWORK SOLUTION OF ELECTROMAGNETIC INVERSE PROBLEMS, IEEE transactions on magnetics, 34(5), 1998, pp. 2968-2971
A neural network model is proposed to treat inverse problems in electr
omagnetics, which includes wavelet functions to improve local approxim
ation capabilities, This processor couples the advantages of an interp
retation of the problem based on ''features'' to the accuracy derived
from using wavelets where local corrections are needed. The combined m
odel allows to cope with singularities of the mapping and to slightly
modify the mapping in real time. The detection and characterization of
a circular defect in a conducting plate by using eddy current testing
is shown to take advantage from the proposed approach in a test case,
when unforeseen disturbances are present.