- Tytuł:
- Adaptation of the Regularization Parameters in the Nm-Delta Networks
- Autorzy:
-
Gołąbek, P.
Kosiński, W. - Powiązania:
- https://bibliotekanauki.pl/articles/911150.pdf
- Data publikacji:
- 2000
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
regularyzacja
Levenberg-Marquardt
NM-Delta
M-Delta
regularization
quasi-Newton - Opis:
- The paper describes an application of regularization techniques to an automatic choice of parameters driving the learning process in the NM-Delta neural network architecture. The heterogeneous learning algorithm is identified as very similar to the Levenberg-Marquardt method but with a considerably smaller computational cost and different justification of parameter selection. The performance of the modified algorithm proves to be comparable with that of the Levenberg-Marquardt.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2000, 10, 4; 779-790
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł