- Tytuł:
- Mathematical model of architecture and learning processes of artificial neural networks
- Autorzy:
- Bielecki, A.
- Powiązania:
- https://bibliotekanauki.pl/articles/1931575.pdf
- Data publikacji:
- 2003
- Wydawca:
- Politechnika Gdańska
- Tematy:
-
artificial neural networks
neuron
learning process
topological conjugacy
gradient dynamical system
Euler method - Opis:
- A mathematical model of architecture and learning processes of multilayer artificial neural netwoks is discussed in the paper. Dynamical systems theory is used to describe the learning precess of networks consisting of linear, weakly nonlinear and nonlinear neurons. Conjugacy between a gradient dynamical system with a constant time step and a cascade generated by its Euler method theorem is applied as well.
- Źródło:
-
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2003, 7, 1; 93-114
1428-6394 - Pojawia się w:
- TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
- Dostawca treści:
- Biblioteka Nauki
Artykuł