DocumentCode
878240
Title
Learning programs
Author
St. Clair, Dan
Author_Institution
Dept. of Comput. Sci., Missouri Univ., St. Louis, MO, USA
Volume
11
Issue
3
fYear
1992
Firstpage
19
Lastpage
22
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;
fLanguage
English
Journal_Title
Potentials, IEEE
Publisher
ieee
ISSN
0278-6648
Type
jour
DOI
10.1109/45.207106
Filename
207106
Link To Document