| Article ID: | iaor19992103 |
| Country: | United Kingdom |
| Volume: | 25 |
| Issue: | 4 |
| Start Page Number: | 251 |
| End Page Number: | 263 |
| Publication Date: | Apr 1998 |
| Journal: | Computers and Operations Research |
| Authors: | Rakes Terry R., Markham Ina S. |
| Keywords: | neural networks |
This research explores the robustness of simple linear regression and artificial neural networks with respect to varying sample size and variance of the error term by comparing their predictive abilities. The comparison is made using the root mean square difference between the predicted output from each technique and the actual output.