DocumentCode
1802678
Title
Cellular neural networks for information storage and retrieval: a new design method
Author
Grassi, Giuseppe ; Acciani, Giuseppe
Author_Institution
Dipt. di Ingegneria, Lecce Univ., Italy
Volume
6
fYear
1999
fDate
36342
Firstpage
3754
Abstract
In this paper a new approach to information storage and retrieval using cellular neural networks is developed. The objective is achieved by considering a suitable discrete-time model of these networks and by designing them so that the input information are fed via external inputs rather than initial conditions. The technique, which exploits globally asymptotically stable networks, leads to a facilitation of their hardware implementation
Keywords
asymptotic stability; cellular neural nets; discrete time systems; information retrieval; information storage; asymptotic stability; cellular neural networks; discrete-time model; information retrieval; information storage; Asymptotic stability; Cellular neural networks; Design methodology; Difference equations; Feedback; Information retrieval; Neural network hardware; Piecewise linear techniques; Vectors; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-5529-6
Type
conf
DOI
10.1109/IJCNN.1999.830750
Filename
830750
Link To Document