Title :
Learning programs
Author_Institution :
Dept. of Comput. Sci., Missouri Univ., St. Louis, MO, USA
Abstract :
The nature of learning programs is explained, and problems encountered in building them are discussed. Some current approaches to machine learning are reviewed. An application of machine learning to nondestructive identification of subsurface anomalies in aircraft is described.<>
Keywords :
aerospace computing; aircraft; learning (artificial intelligence); mechanical engineering computing; neural nets; nondestructive testing; aircraft; artificial neural networks; learning programs; machine learning; nondestructive identification; subsurface anomalies; Aircraft; Learning systems; Neural networks; Nondestructive testing;
Journal_Title :
Potentials, IEEE
