Title :
Neural networks and digital avionics
Author_Institution :
Northrop Corp., Hawthorne, CA
Abstract :
The application of neural networks is considered as a method of solution to a number of outstanding problems in aircraft avionics. The areas of application of artificial neural networks to avionics dealt with are: target selection, attack planning/steering, and track-before-detect. The target selection is approached by the application of a feedforward, backpropagation network. The attach planning/steering is approached by a novel type of parallel processing neural network. The track-before-detect is solved via a feedforward backpropagation network. The feedforward backpropagation algorithms can be implemented on fast systolic-array-type neural chips. A special, fast path generation chip can be developed. Consequently, a low-cost, high-speed, compact solution to a number of avionics functions is available through neural networks
Keywords :
aerospace computing; aircraft instrumentation; digital instrumentation; microprocessor chips; neural nets; parallel processing; systolic arrays; aircraft avionics; attack planning; digital avionics; feedforward backpropagation network; neural chips; neural networks; parallel processing; steering; systolic-array; target selection; Aerospace electronics; Aircraft; Computer hacking; Energy capture; Feedforward systems; Information analysis; Neural networks; Tiles; Turning; Weapons;
Conference_Titel :
Digital Avionics Systems Conference, 1990. Proceedings., IEEE/AIAA/NASA 9th
Conference_Location :
Virginia Beach, VA
DOI :
10.1109/DASC.1990.111365