DocumentCode
3235283
Title
Capacity expansion of neural networks model using external coding
Author
Saad, David ; Marom, Emanuel
Author_Institution
Fac. of Eng., Tel-Aviv Univ., Israel
fYear
1989
fDate
0-0 1989
Abstract
Summary form only given, as follows. The effects of mapping an ensemble of vectors, using an external coding sequence, on the retrieval efficiency of such an ensemble in a neural network model are studied. Computer simulations show an increase in capacity and in the retrieval efficiency by using such coding. Significant improvements were obtained by using a coded concatenation procedure upon ensembles of highly correlative vectors.<>
Keywords
encoding; learning systems; memory architecture; neural nets; virtual machines; capacity; coded concatenation procedure; external coding; highly correlative vectors; mapping; neural networks model; retrieval efficiency; vectors; Encoding; Learning systems; Memory architecture; Neural networks; Virtual computers;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1989. IJCNN., International Joint Conference on
Conference_Location
Washington, DC, USA
Type
conf
DOI
10.1109/IJCNN.1989.118310
Filename
118310
Link To Document