DocumentCode
2910397
Title
Techniques and applications for neural networks “an air force perspective”
Author
Kirkland, Larry V.
Author_Institution
OO-ALC/TISAC, Hill AFB, UT, USA
fYear
1998
fDate
24-27 Aug 1998
Firstpage
580
Lastpage
583
Abstract
This paper describes the use of neural networks in combination with algorithmic test programs to aid in improving test efficiency and accuracy, especially in test situations where “bad actor” test programs exist that have difficulty in detecting and isolating Unit Under Test (UUT) failures
Keywords
aerospace computing; aerospace testing; automatic testing; avionics; electronic equipment testing; neural nets; air force perspective; algorithmic test programs; neural networks; test accuracy; test efficiency; Artificial neural networks; Circuit analysis; Circuit optimization; Circuit testing; Electrical resistance measurement; Frequency measurement; Humans; Neural networks; Performance analysis; Voltage measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
AUTOTESTCON '98. IEEE Systems Readiness Technology Conference., 1998 IEEE
Conference_Location
Salt Lake City, UT
ISSN
1088-7725
Print_ISBN
0-7803-4420-0
Type
conf
DOI
10.1109/AUTEST.1998.713500
Filename
713500
Link To Document