- Tytuł:
- Memory Properties of Non-Fully Interconnected Neural Network
- Autorzy:
-
Kosiński, R. A.
Zagórski, A. - Powiązania:
- https://bibliotekanauki.pl/articles/1931636.pdf
- Data publikacji:
- 1994-05
- Wydawca:
- Polska Akademia Nauk. Instytut Fizyki PAN
- Tematy:
- 87.10.+e
- Opis:
- A model of a neural network consisting of two states neurons with the number N of (symmetric) synaptic connections per neuron treated as a variable was investigated numerically. Hebb's rule was used for storing uncorrelated patterns in the network. A maximal number of such patterns, which can be effectively retrieved by the network and the process of deterioration of the memory, is examined as a function of the number of synaptic connections per neuron. The influence of the number of neurons in the network as well as boundary conditions for the storage capacity of the network are discussed.
- Źródło:
-
Acta Physica Polonica A; 1994, 86, 3; 427-433
0587-4246
1898-794X - Pojawia się w:
- Acta Physica Polonica A
- Dostawca treści:
- Biblioteka Nauki
Artykuł