DocumentCode
2166779
Title
Large-capacity, noise-filtering, multi-level, associate memory system
Author
Hu, C.-L.J.
Author_Institution
Dept. of Electr. Eng., Southern Illinois Univ., Carbondale, IL
fYear
1989
fDate
26-28 Mar 1989
Firstpage
412
Lastpage
416
Abstract
The dynamical properties of a neural circuit are studied by means of a modified Lyapunov theory. These properties include the criteria of stability, the domain of convergence, the initial-to-final mapping, and the programming of the connection matrix. All the theoretical predictions are verified numerically by computer experiments. Practical applications of this system are discussed
Keywords
Lyapunov methods; content-addressable storage; filtering and prediction theory; neural nets; stability criteria; Lyapunov theory; associate memory system; connection matrix; convergence; dynamical properties; initial-to-final mapping; neural circuit; neural nets; noise-filtering; stability; Application software; Circuit noise; Circuit stability; Convergence; Stability criteria;
fLanguage
English
Publisher
ieee
Conference_Titel
System Theory, 1989. Proceedings., Twenty-First Southeastern Symposium on
Conference_Location
Tallahassee, FL
ISSN
0094-2898
Print_ISBN
0-8186-1933-3
Type
conf
DOI
10.1109/SSST.1989.72502
Filename
72502
Link To Document