DocumentCode
3241333
Title
Computation of the distributed associative memory and numerical stability of the generalized inverse matrix
Author
Mohideen, S. ; Cherkassky, Vladimir ; Wechsler, Harry
Author_Institution
Hewlett-Packard, Cupertino, CA, USA
fYear
1989
fDate
0-0 1989
Abstract
Summary form only given. A novel recursive algorithm to calculate the recursive generalized inverse (RGI) needed to learn some distributed associative memory is introduced. The authors show that this new RGI algorithm provides better numerical stability when compared with Greville´s algorithm. The RGI has been applied successfully to fault-tolerant information retrieval tasks.<>
Keywords
content-addressable storage; convergence of numerical methods; distributed processing; matrix algebra; Greville´s algorithm; distributed associative memory; fault-tolerant information retrieval; generalized inverse matrix; numerical stability; recursive generalized inverse; Associative memories; Convergence of numerical methods; Distributed computing; Matrices;
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.1989.118340
Filename
118340
Link To Document