Neural network-based inversion algorithms in magnetic flux leakage nondestructive evaluation

A neural network forward model based iterative approach for solving inverse problem in electromagnetic nondestructive testing was presented. The proposed model uses two neural networks in feedback configuration-a forward network and an inverse network. It was found that the proposed approach is capable of providing accurate estimates of the flaw profiles, even in the presence of reasonable noise.