Title :
An adaptive sparse distributed memory
Author_Institution :
Dpto. de Comput., Univ. de Los Andes, Merida, Venezuela
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;
Conference_Titel :
Neural Networks, 2003. Proceedings of the International Joint Conference on
Print_ISBN :
0-7803-7898-9
DOI :
10.1109/IJCNN.2003.1223749
