DocumentCode
500976
Title
Design of associative memories by using machine learning
Author
Citko, Wieslaw ; Sienko, Wieslaw
Author_Institution
Dept. of Electr. Eng., Gdynia Maritime Univ., Gdynia, Poland
fYear
2009
fDate
20-21 July 2009
Firstpage
209
Lastpage
212
Abstract
Problem of nonlinear mapping-based design of associative memories can be regarded as a covering problem in the case of feedforward architecture and as a generation of fixed points in the case of feedback structure. The machine learning techniques has been used as the analytical tool.
Keywords
content-addressable storage; learning (artificial intelligence); associative memories design; feedforward architecture; machine learning techniques; nonlinear mapping-based design; Approximation methods; Associative memory; Filters; Hilbert space; Kernel; Large-scale systems; Machine learning; Neural networks; Neurofeedback; Nonlinear equations; design of associative memories; machine learning; nonlinear mappings;
fLanguage
English
Publisher
ieee
Conference_Titel
Nonlinear Dynamics and Synchronization, 2009. INDS '09. 2nd International Workshop on
Conference_Location
Klagenfurt
ISSN
1866-7791
Print_ISBN
978-1-4244-3844-0
Type
conf
DOI
10.1109/INDS.2009.5227991
Filename
5227991
Link To Document