id: 35395
Title: Modeling of Multiport Heteroassociative Memory (MBHM) on the Basis of Equivalence Models Implemented on Vector-Matrix Multipliers
Authors: Saiko V., Krasilenko V., Chikov I., Nikitovych D.
Keywords: Multiport associative memory, equivalence model, vector-matrix multiplier, heteroassociative memory, neural network, associative memory capacity
Date of publication: 2024-03-20 11:50:10
Last changes: 2024-03-20 11:50:10
Year of publication: 2023
Summary: The work is devoted to consideration of issues related to associative processing of information for the purpose of hardware and software implementation of relevant mathematical, simulation and physical models of associative memory. On the basis of a review of known publications, including those in which equivalence models of associative and heteroassociative memory were considered and their advantages were shown, the need for further research of such models of AM or HAM and conducting simulation model experiments in order to find their effective implementations is substantiated. The results of simulation modeling of two implementations of multi-port heteroassociative memory (MHAM) based on vector-matrix multipliers and vector-matrix equivalents, which, as accelerators, are adapted to equivalence models, are given. The results of modeling the processes of hetero-associative letter tuple recognition, performed in Mathcad for two versions of the MHAM implementation, confirm their correct functioning, since the correct tuples of all 100 output letters pairwise associated with 100 input letters are formed by the models at the outputs-ports of the MHAM.
URI: http://81.30.162.23/repository/getfile.php/35395.pdf
Publication type: Статті Scopus
Publication: CEUR Workshop Proceedings. 2023. Vol. 3646. P. 76-85. URL: https://ceur-ws.org/Vol-3646/Paper_8.pdf
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Published by: Адміністратор
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