๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Cascade associative memory storing hierarchically correlated patterns with various correlations

โœ Scribed by M Hirahara; N Oka; T Kindo


Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
342 KB
Volume
13
Category
Article
ISSN
0893-6080

No coin nor oath required. For personal study only.

โœฆ Synopsis


In conventional models for storing hierarchically correlated patterns, correlations between ancestors (first-level patterns) and their descendants (second-level ones) are assumed to be uniform, so that the descendants are distributed around their ancestors with equal distances. However, this assumption might be unnatural. We believe that objects are encoded into patterns by preserving the similarity between them. In this case, descendants are distributed around their ancestors with various distances, so that the assumption is invalid and the conventional models become inapplicable. To overcome this, we propose a model CASM3 for storing hierarchically correlated patterns with various correlations. In CASM3, critical load levels vary with the descendants, and become higher with increasing correlations. Increase in load level successively destroys the memories of the descendants in descending order of their correlations. The size of the basins of attraction depends on the range of the correlations, and becomes larger as the correlation range is shifted toward lower levels.


๐Ÿ“œ SIMILAR VOLUMES


Associative memory with a sparse encodin
โœ Makoto Hirahara; Natsuki Oka; Toshiki Kindo ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 864 KB

Gu(freund (Neural networks with hierarchically correlated patterns. Physical Review A, 37, 570-577, 1988 ) has proposed a model for storing hierarchically correlated patterns where ancestor patterns are correlated with descendant ones. However, there is a problem of small storage capacity. Furtherm