Applications of neural networks for aerospace-related technologies

Author

Zurada, Jacek M.

Author_Institution

Dept. of Electr. Eng., Louisville Univ., KY, USA

Volume

2

fYear

1996

fDate

3-10 Feb 1996

Firstpage

279

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Aerospace Applications Conference, 1996. Proceedings., 1996 IEEE

Conference_Location

Aspen, CO

Print_ISBN

0-7803-3196-6

Type

conf

DOI

10.1109/AERO.1996.495983

Filename

495983