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An evolution-oriented learning algorithm is presented for the optimal interpolative (OI) artificial neural net proposed by R. J. P. deFigueiredo (1990). The algorithm is based on a recursive least squares training procedure. One of its key attributes is that it incorporates in the structure of the net the smallest number of prototypes from the training set(More)
Several major deconvolution techniques commonly used for seismic applications are studied and adapted for ultrasonic NDE (nondestructive evaluation) applications. Comparisons of the relative merits of these techniques are presented based on a complete set of simulations on some real ultrasonic pulse echoes. Methods that rely largely on a reflection seismic(More)
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