- Tytuł:
- Neural Approximation of Empirical Functions
- Autorzy:
- Roj, J.
- Powiązania:
- https://bibliotekanauki.pl/articles/1399400.pdf
- Data publikacji:
- 2013-09
- Wydawca:
- Polska Akademia Nauk. Instytut Fizyki PAN
- Tematy:
-
84.35.+i
07.05.Mh
06.20.-f
06.20.F-
06.20.fb
02.60.Ed - Opis:
- The paper presents the results of simulation studies of selected neural network structures used for non-linear function approximation based on a limited accuracy data. There was performed the analysis of the interdependence of the network structure and the size of the set of learning patterns. The approximation inaccuracy was expressed by the uncertainty interval width. The approximation properties of the neural method were compared with those of the piece-wise linear and polynomial: "cubic" and "spline" methods.
- Źródło:
-
Acta Physica Polonica A; 2013, 124, 3; 554-557
0587-4246
1898-794X - Pojawia się w:
- Acta Physica Polonica A
- Dostawca treści:
- Biblioteka Nauki
Artykuł