Neural network with adaptive genetic algorithm for eddy current nondestructive testing

For eddy current nondestructive testing (ECNDT), adaptive genetic algorithm (GA) is adopted, which can overcome the disadvantages of back propagation (BP) artificial neural network (ANN), such as a possibility of being trapped on locally minimum value. Moreover, GA operators are selected by adaptive algorithm to overcome the prematurity. Compared with BP-ANN, the convergence precision and generalization of GA-ANN are improved remarkably.