Autor:

Gamino-Carranza, Arturo

Współtwórca:

Kitowski, Zygmunt - ed. ; Piskur, Paweł - ed. ; Hożyń , Stanisław - ed.

Tytuł:

Binary associative memories with complemented operations

Podtytuł:

.

Tytuł publikacji grupowej:

AMCS, volume 33 (2023)

Temat i słowa kluczowe:

associative memory ; neutral networks ; morphological associative memory ; perfect recall

Abstract:

Associative memories based on lattice algebra are of great interest in pattern recognition applications due to their excellent storage and recall properties. In this paper, a class of binary associative memory derived from lattice memories is presented, which is based on the definition of new complemented binary operations and threshold unary operations. The new learning method generates memories M and W; the former is robust to additive noise and the latter is robust to subtractive noise. In the recall step, the memories converge in a single step and use the same operation as the learning method. The storage capacity is unlimited, and in autoassociative mode there is perfect recall for the training set. Simulation results suggest that the proposed memories have better performance compared to other models.

Wydawca:

Zielona Góra: Uniwersytet Zielonogórski

Data wydania:

2023

Typ zasobu:

artykuł

DOI:

10.34768/amcs-2023-0019

Strony:

249-265

Źródło:

AMCS, volume 33, number 2 (2023) ; kliknij tutaj, żeby przejść

Jezyk:

eng

Licencja CC BY 4.0:

kliknij tutaj, żeby przejść

Prawa do dysponowania publikacją:

Biblioteka Uniwersytetu Zielonogórskiego