Title :
Applications of neural networks for aerospace-related technologies
Author :
Zurada, Jacek M.
Author_Institution :
Dept. of Electr. Eng., Louisville Univ., KY, USA
Abstract :
Over the last decade neural networks have emerged as a versatile computing technology, offering efficient solutions in many engineering, industrial and business applications, including decision support systems and medicine. This paper addresses the basic concepts of neurocomputing and discusses applications relevant to the aerospace industry. The advantages and drawbacks of neurocomputing are discussed as compared to conventional approaches to engineering solutions. Also, current needs and potential developments in the field are reviewed
Keywords :
aerospace computing; aerospace control; computer vision; decision support systems; learning (artificial intelligence); neural net architecture; aerospace; aerospace industry; business applications; computer vision; decision support systems; industrial applications; learning; medicine; neural networks; neurocomputing; pattern recognition; process modelling; Biological system modeling; Computer architecture; Computer industry; Computer networks; Concurrent computing; Distributed computing; Knowledge acquisition; Mathematical model; Neural networks; Robot control;
Conference_Titel :
Aerospace Applications Conference, 1996. Proceedings., 1996 IEEE
Conference_Location :
Aspen, CO
Print_ISBN :
0-7803-3196-6
DOI :
10.1109/AERO.1996.495983
