Title :
Techniques and applications for neural networks “an air force perspective”
Author :
Kirkland, Larry V.
Author_Institution :
OO-ALC/TISAC, Hill AFB, UT, USA
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;
Conference_Titel :
AUTOTESTCON '98. IEEE Systems Readiness Technology Conference., 1998 IEEE
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-4420-0
DOI :
10.1109/AUTEST.1998.713500
