- Tytuł:
- Binary associative memories with complemented operations
- Autorzy:
- Gamino-Carranza, Arturo
- Powiązania:
- https://bibliotekanauki.pl/articles/11542699.pdf
- Data publikacji:
- 2023
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
associative memory
neural network
morphological associative memory
perfect recall
pamięć asocjacyjna
sieć neuronowa
pamięć asocjacyjna morfologiczna - Opis:
- 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.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2023, 33, 2; 249--265
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł