DocumentCode
2561166
Title
The design of cellular neural networks for associative memory with multiple memory tables
Author
Namba, Michihiro ; Zhang, Zhong
Author_Institution
Yamanashi Eiwa Coll., Japan
fYear
2005
fDate
28-30 May 2005
Firstpage
236
Lastpage
239
Abstract
In this paper, we propose the CNNs for associative memory with multiple memory tables (MMT-CNNs). Thereupon, we have examined the incomplete recall rate in the computational experiments of some MMT-CNNs. As a result, the incomplete recall rate (ICR) of the MMT-CNNs was far below that of the conventional CNNs, and we could confirm a great improvement of self-recall function.
Keywords
cellular neural nets; content-addressable storage; associative memory; cellular neural networks; incomplete recall rate; multiple memory tables; self-recall function; Associative memory; Automobiles; Cellular neural networks; Educational institutions; Equations; Liver diseases; Memory management; Piecewise linear techniques; Vectors; Vehicle dynamics;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Neural Networks and Their Applications, 2005 9th International Workshop on
Print_ISBN
0-7803-9185-3
Type
conf
DOI
10.1109/CNNA.2005.1543204
Filename
1543204
Link To Document