Adaptive learning methods and their use in flaw classification

  • Sriram Chavali
  • Published 2016

Abstract

An important goal of nondestructive evaluation is the detection and classification of flaws in materials. This process of 'flaw classification' involves the transformation of the 'raw' data into other domains, the extraction of features in those domains, and the use of those features in a classification algorithm that determines the class to which the flaw… (More)

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