Summary
2007 International Symposium on Nonlinear Theory and its Applications
2007
Session Number:19PM1-B
Session:
Number:19PM1-B-1
Entropy based Associative Model with Analogue Embedded Vectors
Masahiro Nakagawa,
pp.489-492
Publication Date:2007/9/16
Online ISSN:2188-5079
DOI:10.34385/proc.41.19PM1-B-1
Summary:
In this paper, an entropy based associative memory model will be proposed and applied to memory retrievals with analogue embedded vectors instead of the binary ones and compared with the conventional autoassociative model with a quadratic Lyapunov functionals. In the present approach, the updating dynamics will be constructed on the basis of the entropy minimization strategy which may be reduced asymptotically to the autocorrelation dynamics as a special case. From numerical results, it will be found that the presently proposed novel approach realizes the apparently larger memory capacity in comparison with the autocorrelation model based on dynamics such as associatron according to the higher-order correlation involved in the proposed dynamics.