DocumentCode
1807620
Title
Enhancing the storage capacity of binary associative memories
Author
Fellenz, Winfiied A. ; Taylor, John G.
Author_Institution
Dept. of Math., King´´s Coll., London, UK
Volume
2
fYear
1999
fDate
36342
Firstpage
775
Abstract
We present a simple modification to binary associative memories employing a designated intermediate layer representation which reduces crosstalk between stored patterns and enhances performance and average storage capacity of the network. It is shown that the hidden layer associative network is less dependent on the number of ones in the storage patterns and shows an improved retrieval capacity from incomplete retrieval patterns
Keywords
content-addressable storage; crosstalk; neural nets; binary associative memory; crosstalk; hidden layer associative network; incomplete retrieval patterns; neural nets; storage capacity; Associative memory; Crosstalk; Decorrelation; Educational institutions; Feedforward systems; Hippocampus; Independent component analysis; Mathematics; Robustness; Vectors;
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.1999.831047
Filename
831047
Link To Document