Research output: Contribution to Journal/Magazine › Journal article › peer-review
| <mark>Journal publication date</mark> | 1/12/2008 |
|---|---|
| <mark>Journal</mark> | Hacettepe Journal of Mathematics and Statistics |
| Issue number | 2 |
| Volume | 37 |
| Number of pages | 16 |
| Pages (from-to) | 185-200 |
| Publication Status | Published |
| <mark>Original language</mark> | English |
The only suggestions given in the literature for determining the archi- tecture of neural networks are based on observations, and a simulation study to determine the architecture has not yet been reported. Based on the results of the simulation study described in this paper, a new architecture selection strategy is proposed and shown to work well. It is noted that although in some studies the period of a seasonal time series has been taken as the number of inputs of the neural network model, it is found in this study that the period of a seasonal time series is not a parameter in determining the number of inputs.