DocumentCode
489877
Title
A Hopfield-Based Neuro-Diagnostic System
Author
Chu, S.R. ; Shoureshi, Rahmat ; Healey, A.J.
Author_Institution
School of Mechanical Engineering, Purdue University, W. Lafayette, IN 47907
fYear
1992
fDate
24-26 June 1992
Firstpage
2629
Lastpage
2633
Abstract
A high potential application area for neural networks in the dynamic systems is the area of failure detection and identification. An innovation based failure diagnostic is considered in this paper. This scheme requires a fast on-line system identification technique. Formulation and development of a recurrent Hopfield network for system identification is presented. The general case of a combined parameter idenfification and state observation is considered.
Keywords
Circuits; Equations; Intelligent networks; Mechanical engineering; Neural networks; Neurons; Real time systems; Recurrent neural networks; System identification; Technological innovation;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1992
Conference_Location
Chicago, IL, USA
Print_ISBN
0-7803-0210-9
Type
conf
Filename
4792616
Link To Document