Title :
Some proposed applications of artificial neural systems to spacecraft power subsystems
Author_Institution :
TRW, Redondo Beach, CA, USA
Abstract :
A discussion is presented of the human brain, the model from which the artificial neural systems (ANS) are derived, and some basic learning strategies are examined. A brief overview of artificial neural systems is presented, and some applications of these systems to spacecraft power subsystems diagnostic problems are proposed. It is noted that there are still many unanswered questions and very few hardware implementations of these networks, and that standard chip sets are virtually nonexistent
Keywords :
aerospace computing; learning systems; neural nets; power system computer control; space vehicle power plants; aerospace computing; artificial neural systems; diagnostic problems; learning strategies; power system computer control; spacecraft power subsystems; Biological neural networks; Brain modeling; Chemicals; Humans; Nerve fibers; Nervous system; Neurons; Signal design; Space technology; Space vehicles;
Conference_Titel :
Energy Conversion Engineering Conference, 1989. IECEC-89., Proceedings of the 24th Intersociety
Conference_Location :
Washington, DC
DOI :
10.1109/IECEC.1989.74466
