DocumentCode
396678
Title
An adaptive sparse distributed memory
Author
Aguilar, J.L.
Author_Institution
Dpto. de Comput., Univ. de Los Andes, Merida, Venezuela
Volume
3
fYear
2003
fDate
20-24 July 2003
Firstpage
2197
Abstract
Sparse distributed memory is a content addressable, associative memory technique which relies on close memory items tending to be clustered together, with some abstraction and blurring of details. This paper discusses the limitations of the original model. Then, we propose a method which improve Sparse Distributed Memory efficiency through an adaptive threshold. The results obtained are good and promising.
Keywords
content-addressable storage; distributed memory systems; threshold logic; adaptive sparse distributed memory; adaptive threshold; associative memory technique; content addressable memory; sparse distributed memory; Associative memory; Convergence; Counting circuits; Fault tolerant systems; Feedforward neural networks; Humans; Neural networks; Read-write memory; Robustness; Writing;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2003. Proceedings of the International Joint Conference on
ISSN
1098-7576
Print_ISBN
0-7803-7898-9
Type
conf
DOI
10.1109/IJCNN.2003.1223749
Filename
1223749
Link To Document