A deterministic capacity-finding method for multi-valued exponential BAM

Author

Wang, Chua-Chin ; Huang, Chenn-Jung ; Hwang, Shiou-Ming

Author_Institution

Dept. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan

Volume

30

Issue

6

fYear

2000

fDate

11/1/2000 12:00:00 AM

Firstpage

817

Lastpage

819

Abstract

The multi-valued exponential bidirectional associative memory (MV-eBAM) has been proposed and proved to be asymptotically stable under certain constraints. Although multi-valued eBAM has been verified to possess high capacity by thorough simulations, the capacity is still unable to be solved analytically. In the paper, an algorithm is proposed to derive the capacity. Some important characteristics, including the absolute lower bound of the radix, and the approximate capacity are also discussed. The result shows that the multi-valued eBAM indeed possesses high capacity

Keywords

asymptotic stability; content-addressable storage; absolute lower bound; approximate capacity; deterministic capacity-finding method; multi-valued exponential BAM; multi-valued exponential bidirectional associative memory; Algorithm design and analysis; Analytical models; Approximation algorithms; Associative memory; Asymptotic stability; Equations; Magnesium compounds; Neurons; Pattern analysis; Robustness;

fLanguage

English

Journal_Title

Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on

Publisher

ieee

ISSN

1083-4427

Type

jour

DOI

10.1109/3468.895905

Filename

895905