The investigation of model selection criteria in artificial neural networks by the Taguchi method
Year of publication: |
2007
|
---|---|
Authors: | Tortum, Ahmet ; Yayla, Nadir ; Çelik, Cafer ; Gökdağ, Mahir |
Published in: |
Physica A: Statistical Mechanics and its Applications. - Elsevier, ISSN 0378-4371. - Vol. 386.2007, 1, p. 446-468
|
Publisher: |
Elsevier |
Subject: | Artificial neural networks | Model selection | Information criteria | Taguchi method |
-
Model selection in neural networks
Anders, Ulrich, (1996)
-
On the selection of forecasting models
Inoue, Atsushi, (2003)
-
Quantifying model selection uncertainty via bootstrapping and Akaike weights
Rigdon, Edward, (2023)
- More ...
-
A discussion on the parameters of Cowan M3 distribution for Turkey
Tanyel, Serhan, (2003)
-
Determination of optimum working conditions in heat-pumps using nonazeotropic refrigerant mixtures
Çomakli, Ömer, (1999)
-
A systematic approach to the solution of the design optimization problem
Çelik, Cafer, (1998)
- More ...